On the public citation graph
Two-Population Coevolutionary Algorithm with Dynamic Learning Strategy for Many-Objective Optimization
0 signed · 108 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.
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known work and none has been retracted — and get a dated CiteStamped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.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-030-20518-8_39openalex-snapshot
Many-Objective Cooperative Co-evolutionary Feature Selection: A Lexicographic Approach
inferredcites →https://doi.org/10.1007/978-3-540-30217-9_84openalex-snapshot
Indicator-Based Selection in Multiobjective Search
inferredcites →https://doi.org/10.1007/978-3-540-31880-4_20openalex-snapshot
A Scalable Multi-objective Test Problem Toolkit
inferredcites →https://doi.org/10.1007/978-3-642-15871-1_31openalex-snapshot
Large-Scale Global Optimization Using Cooperative Coevolution with Variable Interaction Learning
inferredcites →https://doi.org/10.1007/978-3-642-19893-9_10openalex-snapshot
Preference-Driven Co-evolutionary Algorithms Show Promise for Many-Objective Optimisation
inferredcites →https://doi.org/10.1007/s00366-020-01174-wopenalex-snapshot
Dynamic Gaussian bare-bones fruit fly optimizers with abandonment mechanism: method and analysis
inferredcites →https://doi.org/10.1007/s00500-014-1502-7openalex-snapshot
Hybridizing harmony search algorithm with cuckoo search for global numerical optimization
inferredcites →https://doi.org/10.1007/s00521-015-1923-yopenalex-snapshot
Monarch butterfly optimization
inferredcites →https://doi.org/10.1007/s00521-017-2903-1openalex-snapshot
Multi-strategy monarch butterfly optimization algorithm for discounted {0-1} knapsack problem
inferredcites →https://doi.org/10.1007/s10462-017-9559-1openalex-snapshot
A comprehensive review of krill herd algorithm: variants, hybrids and applications
inferredcites →https://doi.org/10.1007/s10845-015-1182-xopenalex-snapshot
An effective discrete invasive weed optimization algorithm for lot-streaming flowshop scheduling problems
inferredcites →https://doi.org/10.1007/s11227-016-1806-8openalex-snapshot
A novel fruit fly framework for multi-objective shape design of tubular linear synchronous motor
inferredcites →https://doi.org/10.1007/s11831-021-09562-1openalex-snapshot
A Survey of Learning-Based Intelligent Optimization Algorithms
inferredcites →https://doi.org/10.1007/s12293-017-0241-6openalex-snapshot
An improved optimization method based on krill herd and artificial bee colony with information exchange
inferredcites →https://doi.org/10.1007/s12351-016-0251-zopenalex-snapshot
A new monarch butterfly optimization with an improved crossover operator
inferredcites →https://doi.org/10.1007/s13369-017-3049-2openalex-snapshot
An Artificial Bee Colony Algorithm Based on Dynamic Penalty and Lévy Flight for Constrained Optimization Problems
inferredcites →https://doi.org/10.1016/j.apm.2013.07.038openalex-snapshot
A discrete artificial bee colony algorithm for the multi-objective flexible job-shop scheduling problem with maintenance activities
inferredcites →https://doi.org/10.1016/j.apm.2013.10.052openalex-snapshot
An effective krill herd algorithm with migration operator in biogeography-based optimization
inferredcites →https://doi.org/10.1016/j.apm.2019.09.029openalex-snapshot
Chaos-enhanced synchronized bat optimizer
inferredcites →https://doi.org/10.1016/j.asoc.2009.06.010openalex-snapshot
A perturbed particle swarm algorithm for numerical optimization
inferredcites →https://doi.org/10.1016/j.asoc.2018.08.015openalex-snapshot
A dynamic multiple populations particle swarm optimization algorithm based on decomposition and prediction
inferredcites →https://doi.org/10.1016/j.asoc.2018.08.020openalex-snapshot
A novel multi-objective co-evolutionary algorithm based on decomposition approach
inferredcites →https://doi.org/10.1016/j.asoc.2019.106059openalex-snapshot
Cooperative coevolution with an improved resource allocation for large-scale multi-objective software project scheduling
inferredcites →https://doi.org/10.1016/j.asoc.2020.106592openalex-snapshot
An ensemble learning based prediction strategy for dynamic multi-objective optimization
inferredcites →https://doi.org/10.1016/j.cnsns.2012.05.010openalex-snapshot
Krill herd: A new bio-inspired optimization algorithm
inferredcites →https://doi.org/10.1016/j.cor.2012.04.007openalex-snapshot
An adaptive large neighborhood search heuristic for Two-Echelon Vehicle Routing Problems arising in city logistics
inferredcites →https://doi.org/10.1016/j.ejor.2014.05.019openalex-snapshot
Preference-inspired co-evolutionary algorithms using weight vectors
inferredcites →https://doi.org/10.1016/j.eswa.2020.114418openalex-snapshot
Monarch butterfly optimization: A comprehensive review
inferredcites →https://doi.org/10.1016/j.future.2019.02.028openalex-snapshot
Harris hawks optimization: Algorithm and applications
inferredcites →https://doi.org/10.1016/j.future.2020.03.055openalex-snapshot
Slime mould algorithm: A new method for stochastic optimization
inferredcites →https://doi.org/10.1016/j.ins.2008.02.017openalex-snapshot
Large scale evolutionary optimization using cooperative coevolution
inferredcites →https://doi.org/10.1016/j.ins.2014.02.123openalex-snapshot
Chaotic Krill Herd algorithm
inferredcites →https://doi.org/10.1016/j.ins.2017.10.037openalex-snapshot
A competitive mechanism based multi-objective particle swarm optimizer with fast convergence
inferredcites →https://doi.org/10.1016/j.ins.2018.10.005openalex-snapshot
Behavior of crossover operators in NSGA-III for large-scale optimization problems
inferredcites →https://doi.org/10.1016/j.ins.2018.10.007openalex-snapshot
Solving large-scale many-objective optimization problems by covariance matrix adaptation evolution strategy with scalable small subpopulations
inferredcites →https://doi.org/10.1016/j.ins.2020.08.040openalex-snapshot
GGA: A modified genetic algorithm with gradient-based local search for solving constrained optimization problems
inferredcites →https://doi.org/10.1016/j.knosys.2020.105675openalex-snapshot
Learning-based elephant herding optimization algorithm for solving numerical optimization problems
inferredcites →https://doi.org/10.1016/j.knosys.2020.106510openalex-snapshot
Chaotic random spare ant colony optimization for multi-threshold image segmentation of 2D Kapur entropy
inferredcites →https://doi.org/10.1016/j.knosys.2020.106642openalex-snapshot
Evolutionary biogeography-based whale optimization methods with communication structure: Towards measuring the balance
inferredcites →https://doi.org/10.1016/j.knosys.2020.106684openalex-snapshot
Orthogonal learning covariance matrix for defects of grey wolf optimizer: Insights, balance, diversity, and feature selection
inferredcites →https://doi.org/10.1016/j.neucom.2012.09.049openalex-snapshot
Feature selection algorithm based on bare bones particle swarm optimization
inferredcites →https://doi.org/10.1016/j.swevo.2018.02.004openalex-snapshot
InDM2: Interactive Dynamic Multi-Objective Decision Making Using Evolutionary Algorithms
inferredcites →https://doi.org/10.1016/j.swevo.2018.12.001openalex-snapshot
Effective invasive weed optimization algorithms for distributed assembly permutation flowshop problem with total flowtime criterion
inferredcites →https://doi.org/10.1016/j.swevo.2019.03.015openalex-snapshot
Ensemble prediction-based dynamic robust multi-objective optimization methods
inferredcites →https://doi.org/10.1016/j.swevo.2019.06.009openalex-snapshot
An adaptive weight vector guided evolutionary algorithm for preference-based multi-objective optimization
inferredcites →https://doi.org/10.1080/0305215x.2014.928817openalex-snapshot
A discrete artificial bee colony algorithm incorporating differential evolution for the flow-shop scheduling problem with blocking
inferredcites →https://doi.org/10.1109/4235.996017openalex-snapshot
A fast and elitist multiobjective genetic algorithm: NSGA-II
inferredcites →https://doi.org/10.1109/access.2018.2876273openalex-snapshot
Preference-Inspired Co-Evolutionary Algorithms With Local PCA Oriented Goal Vectors for Many-Objective Optimization
inferredcites →https://doi.org/10.1109/access.2018.2883802openalex-snapshot
Hyper-Heuristic Coevolution of Machine Assignment and Job Sequencing Rules for Multi-Objective Dynamic Flexible Job Shop Scheduling
inferredcites →https://doi.org/10.1109/cec.2001.934314openalex-snapshot
Scaling up fast evolutionary programming with cooperative coevolution
inferredcites →https://doi.org/10.1109/cec.2002.1004388openalex-snapshot
MOPSO: a proposal for multiple objective particle swarm optimization
inferredcites →https://doi.org/10.1109/cec.2002.1004481openalex-snapshot
Analyzing cooperative coevolution with evolutionary game theory
inferredcites →https://doi.org/10.1109/cec.2002.1006270openalex-snapshot
A blended population approach to cooperative coevolution for decomposition of complex problems
inferredcites →https://doi.org/10.1109/cec.2008.4631014openalex-snapshot
Multilevel cooperative coevolution for large scale optimization
inferredcites →https://doi.org/10.1109/cec.2008.4631121openalex-snapshot
Evolutionary many-objective optimization: A short review
inferredcites →https://doi.org/10.1109/cec.2013.6557903openalex-snapshot
Use of cooperative coevolution for solving large scale multiobjective optimization problems
inferredcites →https://doi.org/10.1109/cec.2018.8477649openalex-snapshot
A Cost Value Based Evolutionary Many-Objective Optimization Algorithm with Neighbor Selection Strategy
inferredcites →https://doi.org/10.1109/cis.2007.181openalex-snapshot
Performance Scalability of a Cooperative Coevolution Multiobjective Evolutionary Algorithm
inferredcites →https://doi.org/10.1109/tcyb.2015.2490738openalex-snapshot
Evolutionary Dynamic Multiobjective Optimization Via Kalman Filter Prediction
inferredcites →https://doi.org/10.1109/tcyb.2016.2600577openalex-snapshot
Test Problems for Large-Scale Multiobjective and Many-Objective Optimization
inferredcites →https://doi.org/10.1109/tcyb.2016.2602561openalex-snapshot
Solving Multiobjective Optimization Problems in Unknown Dynamic Environments: An Inverse Modeling Approach
inferredcites →https://doi.org/10.1109/tcyb.2017.2762701openalex-snapshot
DECAL: Decomposition-Based Coevolutionary Algorithm for Many-Objective Optimization
inferredcites →https://doi.org/10.1109/tcyb.2017.2780274openalex-snapshot
Improving Metaheuristic Algorithms With Information Feedback Models
inferredcites →https://doi.org/10.1109/tcyb.2019.2908485openalex-snapshot
Interval Multiobjective Optimization With Memetic Algorithms
inferredcites →https://doi.org/10.1109/tcyb.2019.2909806openalex-snapshot
A Mixture-of-Experts Prediction Framework for Evolutionary Dynamic Multiobjective Optimization
inferredcites →https://doi.org/10.1109/tevc.2003.810758openalex-snapshot
Performance assessment of multiobjective optimizers: an analysis and review
inferredcites →https://doi.org/10.1109/tevc.2005.851275openalex-snapshot
A faster algorithm for calculating hypervolume
inferredcites →https://doi.org/10.1109/tevc.2005.861417openalex-snapshot
A review of multiobjective test problems and a scalable test problem toolkit
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.2012.2204264openalex-snapshot
Preference-Inspired Coevolutionary Algorithms for Many-Objective Optimization
inferredcites →https://doi.org/10.1109/tevc.2012.2227145openalex-snapshot
A Grid-Based Evolutionary Algorithm for Many-Objective Optimization
inferredcites →https://doi.org/10.1109/tevc.2013.2281534openalex-snapshot
An Evolutionary Many-Objective Optimization Algorithm Using Reference-Point Based Nondominated Sorting Approach, Part II: Handling Constraints and Extending to an Adaptive Approach
inferredcites →https://doi.org/10.1109/tevc.2013.2281535openalex-snapshot
An Evolutionary Many-Objective Optimization Algorithm Using Reference-Point-Based Nondominated Sorting Approach, Part I: Solving Problems With Box Constraints
inferredcites →https://doi.org/10.1109/tevc.2014.2350987openalex-snapshot
Two_Arch2: An Improved Two-Archive Algorithm for Many-Objective Optimization
inferredcites →https://doi.org/10.1109/tevc.2014.2378512openalex-snapshot
A Knee Point-Driven Evolutionary Algorithm for Many-Objective Optimization
inferredcites →https://doi.org/10.1109/tevc.2015.2455812openalex-snapshot
A Multiobjective Evolutionary Algorithm Based on Decision Variable Analyses for Multiobjective Optimization Problems With Large-Scale Variables
inferredcites →https://doi.org/10.1109/tevc.2015.2504730openalex-snapshot
Pareto or Non-Pareto: Bi-Criterion Evolution in Multiobjective Optimization
inferredcites →https://doi.org/10.1109/tevc.2016.2521175openalex-snapshot
Decomposition-Based Algorithms Using Pareto Adaptive Scalarizing Methods
inferredcites →https://doi.org/10.1109/tevc.2016.2600642openalex-snapshot
A Decision Variable Clustering-Based Evolutionary Algorithm for Large-Scale Many-Objective Optimization
inferredcites →https://doi.org/10.1109/tevc.2018.2875430openalex-snapshot
Coevolutionary Particle Swarm Optimization With Bottleneck Objective Learning Strategy for Many-Objective Optimization
inferredcites →https://doi.org/10.1109/tevc.2019.2912204openalex-snapshot
A Similarity-Based Cooperative Co-Evolutionary Algorithm for Dynamic Interval Multiobjective Optimization Problems
inferredcites →https://doi.org/10.1109/tevc.2019.2932624openalex-snapshot
An Estimation of Distribution Algorithm for Mixed-variable Newsvendor Problems
inferredcites →https://doi.org/10.1109/tfuzz.2020.3003506openalex-snapshot
Solving Fuzzy Job-Shop Scheduling Problem Using DE Algorithm Improved by a Selection Mechanism
inferredcites →https://doi.org/10.1109/uksim.2008.13openalex-snapshot
Behavior of Evolutionary Many-Objective Optimization
inferredcites →https://doi.org/10.1137/s1052623496307510openalex-snapshot
Normal-Boundary Intersection: A New Method for Generating the Pareto Surface in Nonlinear Multicriteria Optimization Problems
inferredcites →https://doi.org/10.1145/1068009.1068098openalex-snapshot
On identifying global optima in cooperative coevolution
inferredcites →https://doi.org/10.1145/1143997.1144063openalex-snapshot
Robustness in cooperative coevolution
inferredcites →https://doi.org/10.1145/2463372.2463444openalex-snapshot
On finding well-spread pareto optimal solutions by preference-inspired co-evolutionary algorithm
inferredcites →https://doi.org/10.1162/106365600568086openalex-snapshot
Cooperative Coevolution: An Architecture for Evolving Coadapted Subcomponents
inferredcites →https://doi.org/10.1162/evco_a_00009openalex-snapshot
HypE: An Algorithm for Fast Hypervolume-Based Many-Objective Optimization
inferredcites →https://doi.org/10.3390/math8091415openalex-snapshot
Elephant Herding Optimization: Variants, Hybrids, and Applications
inferredcites →https://doi.org/10.3929/ethz-a-004284029openalex-snapshot
SPEA2: Improving the strength pareto evolutionary algorithm
inferredcites →https://doi.org/10.7551/mitpress/2887.003.0030openalex-snapshot
Evolving Complex Structures via Cooperative Coevolution
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/int.22658openalex-snapshot
Gaussian bare‐bones gradient‐based optimization: Towards mitigating the performance concerns
inferred← citeshttps://doi.org/10.1002/oca.2810openalex-snapshot
Chaotic state of matter search with elite opposition based learning: A new hybrid metaheuristic algorithm
inferred← citeshttps://doi.org/10.1007/s12293-023-00401-3openalex-snapshot
A decomposition-based many-objective evolutionary algorithm with weight grouping and adaptive adjustment
inferred← citeshttps://doi.org/10.1016/j.compbiomed.2022.105917openalex-snapshot
An improved capsule network for glioma segmentation on MRI images: A curriculum learning approach
inferred← citeshttps://doi.org/10.1016/j.eswa.2021.115805openalex-snapshot
CovH2SD: A COVID-19 detection approach based on Harris Hawks Optimization and stacked deep learning
inferred← citeshttps://doi.org/10.1016/j.eswa.2022.116621openalex-snapshot
A hybrid feature selection approach based on information theory and dynamic butterfly optimization algorithm for data classification
inferred← citeshttps://doi.org/10.1016/j.knosys.2021.107133openalex-snapshot
Improving distributed anti-flocking algorithm for dynamic coverage of mobile wireless networks with obstacle avoidance
inferred← citeshttps://doi.org/10.1016/j.knosys.2022.108447openalex-snapshot
A change type-based self-adaptive response strategy for dynamic multi-objective optimization
inferred← citeshttps://doi.org/10.1049/cth2.12277openalex-snapshot
Advanced orthogonal opposition‐based learning‐driven dynamic salp swarm algorithm: Framework and case studies
inferred← citeshttps://doi.org/10.32604/cmes.2021.017987openalex-snapshot
Strengthened Initialization of Adaptive Cross-Generation Differential Evolution
inferred← citeshttps://doi.org/10.3390/electronics12122722openalex-snapshot
Emergent Cooperation and Strategy Adaptation in Multi-Agent Systems: An Extended Coevolutionary Theory with LLMs
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.