On the public citation graph

A decomposition based memetic algorithm for multi-objective vehicle routing problem with time windows

0 signed · 152 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1006/jcph.1999.6413openalex-snapshot
Record Breaking Optimization Results Using the Ruin and Recreate Principle
inferredcites →https://doi.org/10.1007/3-540-49481-2_30openalex-snapshot
Using Constraint Programming and Local Search Methods to Solve Vehicle Routing Problems
inferredcites →https://doi.org/10.1007/3-540-64575-6_44openalex-snapshot
A hybrid genetic algorithm for the vehicle routing problem with time windows
inferredcites →https://doi.org/10.1007/978-3-322-97815-8openalex-snapshot
Verteilt-parallele Metaheuristiken zur Tourenplanung
inferredcites →https://doi.org/10.1007/bf02430370openalex-snapshot
Probabilistic diversification and intensification in local search for vehicle routing
inferredcites →https://doi.org/10.1007/bfb0056872openalex-snapshot
Multiobjective optimization using evolutionary algorithms — A comparative case study
inferredcites →https://doi.org/10.1007/s10489-006-6926-zopenalex-snapshot
Multi-Objective Genetic Algorithms for Vehicle Routing Problem with Time Windows
inferredcites →https://doi.org/10.1007/s10589-005-3070-3openalex-snapshot
A Hybrid Multiobjective Evolutionary Algorithm for Solving Vehicle Routing Problem with Time Windows
inferredcites →https://doi.org/10.1016/j.amc.2006.01.059openalex-snapshot
A memetic algorithm for a vehicle routing problem with backhauls
inferredcites →https://doi.org/10.1016/j.asoc.2010.04.001openalex-snapshot
Multi-objective vehicle routing problem with time windows using goal programming and genetic algorithm
inferredcites →https://doi.org/10.1016/j.asoc.2013.12.012openalex-snapshot
A bi-objective vehicle routing problem with time windows: A real case in Tenerife
inferredcites →https://doi.org/10.1016/j.cie.2013.01.007openalex-snapshot
A hybrid meta-heuristic for multi-objective vehicle routing problems with time windows
inferredcites →https://doi.org/10.1016/j.cor.2003.11.023openalex-snapshot
A cooperative parallel meta-heuristic for the vehicle routing problem with time windows
inferredcites →https://doi.org/10.1016/j.cor.2005.07.025openalex-snapshot
A genetic and set partitioning two-phase approach for the vehicle routing problem with time windows
inferredcites →https://doi.org/10.1016/j.cor.2010.05.004openalex-snapshot
An improved multi-objective evolutionary algorithm for the vehicle routing problem with time windows
inferredcites →https://doi.org/10.1016/j.cor.2013.11.014openalex-snapshot
A knowledge-based evolutionary algorithm for the multiobjective vehicle routing problem with time windows
inferredcites →https://doi.org/10.1016/j.ejor.2011.07.037openalex-snapshot
Recent exact algorithms for solving the vehicle routing problem under capacity and time window constraints
inferredcites →https://doi.org/10.1016/j.jksus.2010.03.002openalex-snapshot
Vehicle routing with time windows: An overview of exact, heuristic and metaheuristic methods
inferredcites →https://doi.org/10.1016/j.swevo.2011.03.001openalex-snapshot
Multiobjective evolutionary algorithms: A survey of the state of the art
inferredcites →https://doi.org/10.1016/j.swevo.2011.11.003openalex-snapshot
Memetic algorithms and memetic computing optimization: A literature review
inferredcites →https://doi.org/10.1016/s0377-2217(02)00486-1openalex-snapshot
Local search with annealing-like restarts to solve the VRPTW
inferredcites →https://doi.org/10.1016/s0925-5273(98)00250-3openalex-snapshot
A heuristic for bi-objective vehicle routing with time window constraints
inferredcites →https://doi.org/10.1023/a:1013661617536openalex-snapshot
Using Constraint-Based Operators to Solve the Vehicle Routing Problem with Time Windows
inferredcites →https://doi.org/10.1023/a:1015053600842openalex-snapshot
Parallelization of a Two-Phase Metaheuristic for Routing Problems with Time Windows
inferredcites →https://doi.org/10.1057/palgrave.jors.2601163openalex-snapshot
A unified tabu search heuristic for vehicle routing problems with time windows
inferredcites →https://doi.org/10.1080/03155986.1999.11732386openalex-snapshot
Two Evolutionary Metaheuristics For The Vehicle Routing Problem With Time Windows
inferredcites →https://doi.org/10.1080/03155986.2003.11732675openalex-snapshot
A Route-Directed Hybrid Genetic Approach For The Vehicle Routing Problem With Time Windows
inferredcites →https://doi.org/10.1109/4235.797969openalex-snapshot
Multiobjective evolutionary algorithms: a comparative case study and the strength Pareto approach
inferredcites →https://doi.org/10.1109/coase.2008.4626505openalex-snapshot
An Or-opt NSGA-II algorithm for multi-objective Vehicle Routing Problem with Time Windows
inferredcites →https://doi.org/10.1109/empdp.2002.994313openalex-snapshot
Parallel simulated annealing for the vehicle routing problem with time windows
inferredcites →https://doi.org/10.1109/icsmc.2011.6083675openalex-snapshot
Nature of real-world multi-objective vehicle routing with evolutionary algorithms
inferredcites →https://doi.org/10.1109/mcdm.2007.369434openalex-snapshot
Interactive Utility Maximization in Multi-Objective Vehicle Routing Problems: A "Decision Maker in the Loop"-Approach
inferredcites →https://doi.org/10.1109/tevc.2007.892759openalex-snapshot
MOEA/D: A Multiobjective Evolutionary Algorithm Based on Decomposition
inferredcites →https://doi.org/10.1109/tevc.2008.2011740openalex-snapshot
Arc-Guided Evolutionary Algorithm for the Vehicle Routing Problem With Time Windows
inferredcites →https://doi.org/10.1109/tevc.2011.2132725openalex-snapshot
A Multi-Facet Survey on Memetic Computation
inferredcites →https://doi.org/10.1109/tsmca.2002.806498openalex-snapshot
Vehicle capacity planning system: A case study on vehicle routing problem with time windows
inferredcites →https://doi.org/10.1109/tsmcc.2011.2148712openalex-snapshot
Optimizing the Vehicle Routing Problem With Time Windows: A Discrete Particle Swarm Optimization Approach
inferredcites →https://doi.org/10.1287/ijoc.8.2.165openalex-snapshot
The Vehicle Routing Problem with Time Windows Part II: Genetic Search
inferredcites →https://doi.org/10.1287/mnsc.40.10.1276openalex-snapshot
A Tabu Search Heuristic for the Vehicle Routing Problem
inferredcites →https://doi.org/10.1287/opre.35.2.254openalex-snapshot
Algorithms for the Vehicle Routing and Scheduling Problems with Time Window Constraints
inferredcites →https://doi.org/10.1287/opre.35.2.266openalex-snapshot
Vehicle Routing with Time Windows
inferredcites →https://doi.org/10.1287/trsc.1030.0049openalex-snapshot
A Two-Stage Hybrid Local Search for the Vehicle Routing Problem with Time Windows
inferredcites →https://doi.org/10.1287/trsc.1030.0085openalex-snapshot
Effective Local Search Algorithms for Routing and Scheduling Problems with General Time-Window Constraints
inferredcites →https://doi.org/10.1287/trsc.31.2.170openalex-snapshot
A Tabu Search Heuristic for the Vehicle Routing Problem with Soft Time Windows

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4666187openalex-extracted
Optimizing Decisions in Vehicle Routing Problems Using Deep Reinforcement Learning: Overview And Systematic Review
inferred← citeshttps://doi.org/10.1007/978-3-030-06222-4_13openalex-snapshot
Memetic Algorithms for Business Analytics and Data Science: A Brief Survey
inferred← citeshttps://doi.org/10.1007/978-3-031-26504-4_4openalex-snapshot
New Neighborhood Strategies for the Bi-objective Vehicle Routing Problem with Time Windows
inferred← citeshttps://doi.org/10.1007/978-3-031-27250-9_33openalex-snapshot
Improving MOEA/D with Knowledge Discovery. Application to a Bi-objective Routing Problem
inferred← citeshttps://doi.org/10.1007/978-3-319-39636-1_15openalex-snapshot
Dealing with the Strategic Level of Decisions Related to Automated Transit Networks: A Hybrid Heuristic Approach
inferred← citeshttps://doi.org/10.1007/978-981-16-1354-8_12openalex-snapshot
A Hybrid Harmony Search Algorithm Based on Data Analysis to Solve Multi-objective Grain Transportation Problem
inferred← citeshttps://doi.org/10.1007/978-981-16-1354-8_39openalex-snapshot
A Multi-objective Algorithm Based on M-MOEA/D Algorithm and Tissue-Like P System for Solving Bi-objective Grain Dispatching and Transportation
inferred← citeshttps://doi.org/10.1007/s00500-016-2114-1openalex-snapshot
A discrete firefly algorithm to solve a rich vehicle routing problem modelling a newspaper distribution system with recycling policy
inferred← citeshttps://doi.org/10.1007/s00500-016-2245-4openalex-snapshot
Robustness measures and robust scheduling for multi-objective stochastic flexible job shop scheduling problems
inferred← citeshttps://doi.org/10.1007/s00500-019-04312-9openalex-snapshot
The new optimization algorithm for the vehicle routing problem with time windows using multi-objective discrete learnable evolution model
inferred← citeshttps://doi.org/10.1007/s00500-025-10721-wopenalex-snapshot
A Q-learning antibody evolution algorithm for multi-objective flexible job shop problem with fuzzy processing time
inferred← citeshttps://doi.org/10.1007/s10100-019-00653-wopenalex-snapshot
Optimizing logistics routings in a network perspective of supply and demand nodes
inferred← citeshttps://doi.org/10.1007/s10100-023-00856-2openalex-snapshot
Implementing a multi-user framework for vehicle routing problems: a chronicle
inferred← citeshttps://doi.org/10.1007/s11831-021-09574-xopenalex-snapshot
Review of Vehicle Routing Problems: Models, Classification and Solving Algorithms
inferred← citeshttps://doi.org/10.1007/s12065-026-01220-4openalex-snapshot
A synthetic differences crossover operator for real-coded evolutionary algorithms
inferred← citeshttps://doi.org/10.1007/s12293-016-0222-1openalex-snapshot
A decomposition-based chemical reaction optimization for multi-objective vehicle routing problem for simultaneous delivery and pickup with time windows
inferred← citeshttps://doi.org/10.1007/s13042-018-00919-wopenalex-snapshot
A decomposition based multiobjective evolutionary algorithm with self-adaptive mating restriction strategy
inferred← citeshttps://doi.org/10.1016/j.asoc.2016.01.029openalex-snapshot
Memory-based adaptive partitioning (MAP) of search space for the enhancement of convergence in Pareto-based multi-objective evolutionary algorithms
inferred← citeshttps://doi.org/10.1016/j.asoc.2016.11.007openalex-snapshot
Reservoir flood control operation using multi-objective evolutionary algorithm with decomposition and preferences
inferred← citeshttps://doi.org/10.1016/j.asoc.2018.05.026openalex-snapshot
Algorithms for the multi-objective vehicle routing problem with hard time windows and stochastic travel time and service time
inferred← citeshttps://doi.org/10.1016/j.asoc.2018.08.026openalex-snapshot
A multi-objective evolutionary algorithm based on decomposition and constraint programming for the multi-objective team orienteering problem with time windows
inferred← citeshttps://doi.org/10.1016/j.asoc.2020.106378openalex-snapshot
A new game-theoretical multi-objective evolutionary approach for cash-in-transit vehicle routing problem with time windows (A Real life Case)
inferred← citeshttps://doi.org/10.1016/j.asoc.2020.106382openalex-snapshot
Multi-objective metaheuristics for discrete optimization problems: A review of the state-of-the-art
inferred← citeshttps://doi.org/10.1016/j.asoc.2023.110913openalex-snapshot
A co-evolutionary genetic algorithm with knowledge transfer for multi-objective capacitated vehicle routing problems
inferred← citeshttps://doi.org/10.1016/j.asoc.2025.113587openalex-snapshot
Evolutionary multi-objective fishing routing with decision maker’s preferences
inferred← citeshttps://doi.org/10.1016/j.asoc.2026.114597openalex-snapshot
Constrained multi-objective evolutionary algorithm with an infeasibility-aided strategy for the vehicle routing problem with time windows
inferred← citeshttps://doi.org/10.1016/j.cie.2019.106242openalex-snapshot
A taxonomic review of metaheuristic algorithms for solving the vehicle routing problem and its variants
inferred← citeshttps://doi.org/10.1016/j.cie.2022.108435openalex-snapshot
Hybrid multiobjective evolutionary algorithm considering combination timing for multi-type vehicle routing problem with time windows
inferred← citeshttps://doi.org/10.1016/j.cie.2024.110330openalex-snapshot
Time-dependent hydrogen fuel cell vehicle routing problem with drones and variable drone speeds
inferred← citeshttps://doi.org/10.1016/j.cor.2016.08.012openalex-snapshot
A novel adaptive control strategy for decomposition-based multiobjective algorithm
inferred← citeshttps://doi.org/10.1016/j.cor.2021.105560openalex-snapshot
A weighted-sum method for solving the bi-objective traveling thief problem
inferred← citeshttps://doi.org/10.1016/j.ejor.2020.07.005openalex-snapshot
Objectives and methods in multi-objective routing problems: a survey and classification scheme
inferred← citeshttps://doi.org/10.1016/j.ejor.2022.06.007openalex-snapshot
A comprehensive risk assessment view on interval type-2 fuzzy controller for a time-dependent HazMat routing problem
inferred← citeshttps://doi.org/10.1016/j.ejor.2025.03.019openalex-snapshot
A bi-objective unrelated parallel machine scheduling problem with additional resources and soft precedence constraints
inferred← citeshttps://doi.org/10.1016/j.energy.2020.118524openalex-snapshot
Improved MOEA/D approach to many-objective day-ahead scheduling with consideration of adjustable outputs of renewable units and load reduction in active distribution networks
inferred← citeshttps://doi.org/10.1016/j.engappai.2020.103964openalex-snapshot
An adapted multi-objective genetic algorithm for solving the cash in transit vehicle routing problem with vulnerability estimation for risk quantification
inferred← citeshttps://doi.org/10.1016/j.est.2021.103844openalex-snapshot
Optimal planning of distributed generation and battery energy storage systems simultaneously in distribution networks for loss reduction and reliability improvement
inferred← citeshttps://doi.org/10.1016/j.eswa.2018.10.036openalex-snapshot
Selecting meta-heuristics for solving vehicle routing problems with time windows via meta-learning
inferred← citeshttps://doi.org/10.1016/j.eswa.2020.114408openalex-snapshot
The parallelization of a two-phase distributed hybrid ruin-and-recreate genetic algorithm for solving multi-objective vehicle routing problem with time windows
inferred← citeshttps://doi.org/10.1016/j.eswa.2022.116546openalex-snapshot
The impact of gradually replacing fossil fuel-powered vehicles with electric ones: A bi-objective optimisation approach
inferred← citeshttps://doi.org/10.1016/j.eswa.2024.125570openalex-snapshot
A two-phase algorithm for the dynamic time-dependent green vehicle routing problem in decoration waste collection
inferred← citeshttps://doi.org/10.1016/j.eswa.2025.128463openalex-snapshot
A two-stage stochastic programming method for a heterogeneous vehicle routing problem with time windows and stochastic demand
inferred← citeshttps://doi.org/10.1016/j.ins.2019.10.016openalex-snapshot
A non-revisiting genetic algorithm based on a novel binary space partition tree
inferred← citeshttps://doi.org/10.1016/j.ins.2022.08.103openalex-snapshot
A hybrid evolutionary multitask algorithm for the multiobjective vehicle routing problem with time windows
inferred← citeshttps://doi.org/10.1016/j.neucom.2019.02.002openalex-snapshot
MOEA/D with the online agglomerative clustering based self-adaptive mating restriction strategy
inferred← citeshttps://doi.org/10.1038/s41598-024-64133-1openalex-snapshot
A significant exploration on meta-heuristic based approaches for optimization in the waste management route problems
inferred← citeshttps://doi.org/10.1038/s41598-025-01480-7openalex-snapshot
Green vehicle routing optimization based on dynamic constraint selection co-evolutionary algorithm
inferred← citeshttps://doi.org/10.1049/iet-cim.2019.0035openalex-snapshot
New construction heuristic algorithm for solving the vehicle routing problem with time windows
inferred← citeshttps://doi.org/10.1080/0305215x.2018.1439942openalex-snapshot
Optimal reservoir flood operation using a decomposition-based multi-objective evolutionary algorithm
inferred← citeshttps://doi.org/10.1080/13675567.2024.2446247openalex-snapshot
A textual data-driven method to measure the capabilities and core paths of different digital technologies to improve supply chain resilience
inferred← citeshttps://doi.org/10.1108/srt-08-2021-0008openalex-snapshot
Modeling a robust multi-objective locating-routing problem with bounded delivery time using meta-heuristic algorithms
inferred← citeshttps://doi.org/10.1109/access.2018.2877767openalex-snapshot
An Evolutionary Scatter Search Particle Swarm Optimization Algorithm for the Vehicle Routing Problem With Time Windows
inferred← citeshttps://doi.org/10.1109/access.2019.2962906openalex-snapshot
Proposal and Comparative Study of Evolutionary Algorithms for Optimum Design of a Gear System
inferred← citeshttps://doi.org/10.1109/access.2020.3023741openalex-snapshot
A Two-Phase Distributed Ruin-and-Recreate Genetic Algorithm for Solving the Vehicle Routing Problem With Time Windows
inferred← citeshttps://doi.org/10.1109/access.2022.3152062openalex-snapshot
A Simulated Annealing Algorithm for the Vehicle Routing Problem With Parcel Lockers
inferred← citeshttps://doi.org/10.1109/cac53003.2021.9728297openalex-snapshot
The Low Carbon Pickup and Delivery Problem with Time Windows and its Optimization Approach
inferred← citeshttps://doi.org/10.1109/cac63892.2024.10864693openalex-snapshot
Reinforcement Learning-Enhanced Dynamic Multi-Objective Evolutionary Algorithm for Cooperative Shovel Scheduling in Open-Pit Mining
inferred← citeshttps://doi.org/10.1109/cec.2016.7744162openalex-snapshot
An improved MOEA/D for multi-objective flexible job shop scheduling with release time uncertainties
inferred← citeshttps://doi.org/10.1109/cec.2017.7969619openalex-snapshot
A memetic algorithm for the Capacitated Vehicle Routing Problem with Time Windows
inferred← citeshttps://doi.org/10.1109/cec53210.2023.10254116openalex-snapshot
A Decomposition-Based Hybrid Algorithm for Multi-objective Vehicle Routing Problem with Time Windows
inferred← citeshttps://doi.org/10.1109/cec60901.2024.10611913openalex-snapshot
Large Language Models as Evolutionary Optimizers
inferred← citeshttps://doi.org/10.1109/cec60901.2024.10612182openalex-snapshot
Cluster-Centric Local Search Strategies for Enhanced Multi-Objective Logistics Optimization
inferred← citeshttps://doi.org/10.1109/iccss53909.2021.9721956openalex-snapshot
Solution Evaluation-Oriented Multi-objective Differential Evolution Algorithm for MOVRPTW
inferred← citeshttps://doi.org/10.1109/icct.2018.8600252openalex-snapshot
Multi-objective Route Planning Based on Improved K-means Algorithm
inferred← citeshttps://doi.org/10.1109/iesm.2015.7380143openalex-snapshot
Metaheuristics for multiobjective goods routing
inferred← citeshttps://doi.org/10.1109/ispce-cn51288.2020.9321856openalex-snapshot
Multi-objective vehicle path planning method for recycling process of used electrical and electronic products
inferred← citeshttps://doi.org/10.1109/jiot.2025.3595102openalex-snapshot
ccDNCA: A Dual-Neighborhood Search-Based Dual-Population Coevolutionary Algorithm for Multi-UAV Task Allocation Problems With Complex Constraints
inferred← citeshttps://doi.org/10.1109/jsen.2024.3458899openalex-snapshot
A History Information-Guided Evolutionary Algorithm for the Multiobjective Vehicle Routing Problem With Time Windows
inferred← citeshttps://doi.org/10.1109/mass50613.2020.00023openalex-snapshot
A Data-Driven Reinforcement Learning Based Multi-Objective Route Recommendation System
inferred← citeshttps://doi.org/10.1109/smile45626.2019.8965277openalex-snapshot
Multiobjective Evolutionary Algorithm with Fast Convergence Strategy for Clustered Vehicle Routing Problem with Time Window
inferred← citeshttps://doi.org/10.1109/ssci51031.2022.10022221openalex-snapshot
Tagging Metaheuristics with Problem-Oriented Labels for Non-Expert Users
inferred← citeshttps://doi.org/10.1109/tase.2024.3476696openalex-snapshot
Capacitated Colored Traveling Salesman Problem With Time Windows
inferred← citeshttps://doi.org/10.1109/tcyb.2017.2728120openalex-snapshot
Set-Based Discrete Particle Swarm Optimization Based on Decomposition for Permutation-Based Multiobjective Combinatorial Optimization Problems
inferred← citeshttps://doi.org/10.1109/tetci.2018.2886585openalex-snapshot
New Shades of the Vehicle Routing Problem: Emerging Problem Formulations and Computational Intelligence Solution Methods
inferred← citeshttps://doi.org/10.1109/tetci.2020.3002228openalex-snapshot
Decomposition Based Multi-Objective Variable Neighborhood Descent Algorithm for Logistics Dispatching
inferred← citeshttps://doi.org/10.1109/tevc.2020.3004012openalex-snapshot
A Coevolutionary Framework for Constrained Multiobjective Optimization Problems
inferred← citeshttps://doi.org/10.1109/tevc.2024.3496507openalex-snapshot
A Survey of Multiobjective Evolutionary Algorithm Based on Decomposition: Past and Future
inferred← citeshttps://doi.org/10.1109/tits.2019.2909109openalex-snapshot
Online Vehicle Routing With Neural Combinatorial Optimization and Deep Reinforcement Learning
inferred← citeshttps://doi.org/10.1109/tits.2023.3334976openalex-snapshot
Machine Learning to Solve Vehicle Routing Problems: A Survey
inferred← citeshttps://doi.org/10.1109/tits.2025.3624271openalex-snapshot
Multi-Objective Heterogeneous Fleet Vehicle Routing Problem: Formulation and Algorithm
inferred← citeshttps://doi.org/10.1111/exsy.12528openalex-snapshot
On the design of hybrid bio‐inspired meta‐heuristics for complex multiattribute vehicle routing problems
inferred← citeshttps://doi.org/10.1111/itor.13223openalex-snapshot
Special issue on “Metaheuristics: Recent Advances and Applications”
inferred← citeshttps://doi.org/10.1111/itor.13373openalex-snapshot
Improving neighborhood exploration into MOEA/D framework to solve a bi‐objective routing problem
inferred← citeshttps://doi.org/10.11394/tjpnsec.6.146openalex-snapshot
大規模Vehicle Routing Problemに対する部分問題化と適応的問題統合に基づく新たな探索フレームワークの提案
inferred← citeshttps://doi.org/10.1145/3319619.3321993openalex-snapshot
Decentralised multi-demic evolutionary approach to the dynamic multi-agent travelling salesman problem
inferred← citeshttps://doi.org/10.1145/3470971openalex-snapshot
Evolutionary Large-Scale Multi-Objective Optimization: A Survey
inferred← citeshttps://doi.org/10.1155/2016/8461857openalex-snapshot
A Heuristics-Based Parthenogenetic Algorithm for the VRP with Potential Demands and Time Windows
inferred← citeshttps://doi.org/10.1155/2018/8623051openalex-snapshot
Weapon‐Target Assignment Problem by Multiobjective Evolutionary Algorithm Based on Decomposition
inferred← citeshttps://doi.org/10.11591/ijai.v12.i2.pp656-666openalex-snapshot
An improved artificial bee colony with perturbation operators in scout bees’ phase for solving vehicle routing problem with time windows
inferred← citeshttps://doi.org/10.1177/03611981231207096openalex-snapshot
Adaptive Multi-Objective Algorithm for the Sustainable Electric Vehicle Routing Problem in Medical Waste Management
inferred← citeshttps://doi.org/10.14569/ijacsa.2016.070274openalex-snapshot
Evolutionary Algorithms Based on Decomposition and Indicator Functions: State-of-the-art Survey
inferred← citeshttps://doi.org/10.14743/apem2019.2.322openalex-snapshot
Time-dependent and bi-objective vehicle routing problem with time windows
inferred← citeshttps://doi.org/10.1520/jte20220039openalex-snapshot
RETRACTED: An Improved Scheduling of Vehicle Routing in Smart Cities by Multiverse Optimization
inferred← citeshttps://doi.org/10.1631/fitee.2000632openalex-snapshot
UAV search-and-rescue planning using an adaptive memetic algorithm
inferred← citeshttps://doi.org/10.22219/jtiumm.vol17.no1.22-30openalex-snapshot
Vehicle Routing Problem Dengan Time Window Untuk Multiple Product Dan Multiple Route Menggunakan Algoritma Sequential Insertion
inferred← citeshttps://doi.org/10.24200/sci.2019.51899.2414openalex-snapshot
Improved Multi-Ant-colony algorithm for solving Multi-Objective Vehicle Routing Problems
inferred← citeshttps://doi.org/10.26599/tst.2023.9010048openalex-snapshot
Solving Multi-Objective Vehicle Routing Problems with Time Windows: A Decomposition-Based Multiform Optimization Approach
inferred← citeshttps://doi.org/10.26599/tst.2024.9010174openalex-snapshot
A Multi-Objective Discrete Artificial Bee Colony Scheduling Algorithm with Referential Search Strategy
inferred← citeshttps://doi.org/10.3390/a18100666openalex-snapshot
A GIN-Guided Multiobjective Evolutionary Algorithm for Robustness Optimization of Complex Networks
inferred← citeshttps://doi.org/10.3390/su10051358openalex-snapshot
Implementation of Cooperation for Recycling Vehicle Routing Optimization in Two-Echelon Reverse Logistics Networks
inferred← citeshttps://doi.org/10.3390/su15021252openalex-snapshot
Vehicle Routing Optimization for Vaccine Distribution Considering Reducing Energy Consumption
inferred← citeshttps://doi.org/10.3390/sym16081030openalex-snapshot
Multi-Task Multi-Objective Evolutionary Search Based on Deep Reinforcement Learning for Multi-Objective Vehicle Routing Problems with Time Windows
inferred← citeshttps://doi.org/10.37256/ujom.1120221144openalex-snapshot
Adapted Fuzzy Multi-Objective Programming Algorithm for Vehicle Routing
inferred← citeshttps://doi.org/10.4018/978-1-7998-1954-7.ch002openalex-snapshot
An Integrated Heuristic Approach for the Long-Distance Heterogeneous Vehicle Routing Problem
inferred← citeshttps://doi.org/10.48550/arxiv.2108.09588openalex-snapshot
Decomposition Multi-Objective Evolutionary Optimization: From State-of-the-Art to Future Opportunities
inferred← citeshttps://doi.org/10.51983/ajcst-2018.7.3openalex-snapshot
inferred← citeshttps://doi.org/10.51983/ajcst-2018.7.3.1903openalex-snapshot
Multi Objective Vehicle Routing Problem: A Survey
inferred← citeshttps://doi.org/10.70675/61d3ac0cz6037z40dbz88e4z3a6bda6a71b7openalex-snapshot
Solution-based Knowledge Discovery in Metaheuristics for Bi-Objective Vehicle Routing Problems
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.