On the public citation graph
Chaotic Binarization Schemes for Solving Combinatorial Optimization Problems Using Continuous Metaheuristics
0 signed · 123 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known work and none has been retracted — and get a dated CiteStamped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/10.1002/int.22744openalex-snapshot
Chaotic diffusion‐limited aggregation enhanced grey wolf optimizer: Insights, analysis, binarization, and feature selection
inferredcites →https://doi.org/10.1007/978-3-030-73603-3openalex-snapshot
Innovations in Bio-Inspired Computing and Applications
inferredcites →https://doi.org/10.1007/978-3-030-86960-1openalex-snapshot
Computational Science and Its Applications – ICCSA 2021
inferredcites →https://doi.org/10.1007/978-3-319-13572-4_1openalex-snapshot
Feature Subset Selection Approach by Gray-Wolf Optimization
inferredcites →https://doi.org/10.1007/978-3-319-48490-7_20openalex-snapshot
Robot Path Planning Optimization Based on Multiobjective Grey Wolf Optimizer
inferredcites →https://doi.org/10.1007/978-3-319-48490-7_32openalex-snapshot
Handwritten Arabic Manuscript Image Binarization Using Sine Cosine Optimization Algorithm
inferredcites →https://doi.org/10.1007/978-3-642-33206-7openalex-snapshot
Theory and Principled Methods for the Design of Metaheuristics
inferredcites →https://doi.org/10.1007/s00202-017-0539-xopenalex-snapshot
A new interactive sine cosine algorithm for loading margin stability improvement under contingency
inferredcites →https://doi.org/10.1007/s00366-019-00801-5openalex-snapshot
Evolving reordering algorithms using an ant colony hyperheuristic approach for accelerating the convergence of the ICCG method
inferredcites →https://doi.org/10.1007/s00500-021-05874-3openalex-snapshot
Chaotic gaining sharing knowledge-based optimization algorithm: an improved metaheuristic algorithm for feature selection
inferredcites →https://doi.org/10.1007/s00521-014-1743-5openalex-snapshot
How important is a transfer function in discrete heuristic algorithms
inferredcites →https://doi.org/10.1007/s00521-017-2837-7openalex-snapshot
RETRACTED ARTICLE: Sine–cosine algorithm for feature selection with elitism strategy and new updating mechanism
inferredcites →https://doi.org/10.1007/s00521-017-2988-6openalex-snapshot
Feature selection via a novel chaotic crow search algorithm
inferredcites →https://doi.org/10.1007/s00521-017-3131-4openalex-snapshot
Chaotic multi-verse optimizer-based feature selection
inferredcites →https://doi.org/10.1007/s10462-022-10324-zopenalex-snapshot
Chaotic electromagnetic field optimization
inferredcites →https://doi.org/10.1007/s10462-023-10470-yopenalex-snapshot
An exhaustive review of the metaheuristic algorithms for search and optimization: taxonomy, applications, and open challenges
inferredcites →https://doi.org/10.1007/s10489-018-1261-8openalex-snapshot
Chaotic dragonfly algorithm: an improved metaheuristic algorithm for feature selection
inferredcites →https://doi.org/10.1007/s10489-021-03037-3openalex-snapshot
Chaotic arithmetic optimization algorithm
inferredcites →https://doi.org/10.1007/s10489-022-03786-9openalex-snapshot
Chaos embedded opposition based learning for gravitational search algorithm
inferredcites →https://doi.org/10.1007/s10732-008-9080-4openalex-snapshot
A study on the use of non-parametric tests for analyzing the evolutionary algorithms’ behaviour: a case study on the CEC’2005 Special Session on Real Parameter Optimization
inferredcites →https://doi.org/10.1007/s11227-021-03626-6openalex-snapshot
An efficient binary chaotic symbiotic organisms search algorithm approaches for feature selection problems
inferredcites →https://doi.org/10.1007/s11227-022-04886-6openalex-snapshot
Adaptive chimp optimization algorithm with chaotic map for global numerical optimization problems
inferredcites →https://doi.org/10.1007/s13042-021-01326-4openalex-snapshot
A self-adaptive Harris Hawks optimization algorithm with opposition-based learning and chaotic local search strategy for global optimization and feature selection
inferredcites →https://doi.org/10.1007/s13369-018-3680-6openalex-snapshot
Feature Selection Using Chaotic Salp Swarm Algorithm for Data Classification
inferredcites →https://doi.org/10.1007/s13369-020-04486-7openalex-snapshot
Chaotic Atom Search Optimization for Feature Selection
inferredcites →https://doi.org/10.1007/s40031-014-0126-8openalex-snapshot
Performance Enhancement of Radial Distributed System with Distributed Generators by Reconfiguration Using Binary Firefly Algorithm
inferredcites →https://doi.org/10.1016/j.advengsoft.2016.01.008openalex-snapshot
The Whale Optimization Algorithm
inferredcites →https://doi.org/10.1016/j.advengsoft.2022.103272openalex-snapshot
WOASCALF: A new hybrid whale optimization algorithm based on sine cosine algorithm and levy flight to solve global optimization problems
inferredcites →https://doi.org/10.1016/j.amc.2015.07.111openalex-snapshot
Fast chaotic optimization algorithm based on spatiotemporal maps for global optimization
inferredcites →https://doi.org/10.1016/j.asoc.2010.07.019openalex-snapshot
Solving 0–1 knapsack problem by a novel global harmony search algorithm
inferredcites →https://doi.org/10.1016/j.asoc.2020.106434openalex-snapshot
An ant colony hyperheuristic approach for matrix bandwidth reduction
inferredcites →https://doi.org/10.1016/j.autcon.2021.104084openalex-snapshot
Multiobjective forensic-based investigation algorithm for solving structural design problems
inferredcites →https://doi.org/10.1016/j.chemolab.2022.104635openalex-snapshot
Improving Amphetamine-type Stimulants drug classification using chaotic-based time-varying binary whale optimization algorithm
inferredcites →https://doi.org/10.1016/j.cnsns.2012.06.009openalex-snapshot
Firefly algorithm with chaos
inferredcites →https://doi.org/10.1016/j.cogsys.2018.12.002openalex-snapshot
Diagnosis of Parkinson’s disease using modified grey wolf optimization
inferredcites →https://doi.org/10.1016/j.cor.2004.03.002openalex-snapshot
Where are the hard knapsack problems?
inferredcites →https://doi.org/10.1016/j.cor.2009.12.006openalex-snapshot
Pre-disaster investment decisions for strengthening a highway network
inferredcites →https://doi.org/10.1016/j.egypro.2019.01.480openalex-snapshot
Optimization for Hydro-Photovoltaic-Wind Power Generation System Based on Modified Version of Multi-Objective Whale Optimization Algorithm
inferredcites →https://doi.org/10.1016/j.ejor.2018.04.042openalex-snapshot
Algorithms for the one-dimensional two-stage cutting stock problem
inferredcites →https://doi.org/10.1016/j.engappai.2016.10.013openalex-snapshot
A hybrid multi-objective grey wolf optimizer for dynamic scheduling in a real-world welding industry
inferredcites →https://doi.org/10.1016/j.eswa.2011.04.022openalex-snapshot
A capital budgeting problem for preventing workplace mobbing by using analytic hierarchy process and fuzzy 0–1 bidimensional knapsack model
inferredcites →https://doi.org/10.1016/j.eswa.2013.09.023openalex-snapshot
A wrapper approach for feature selection based on Bat Algorithm and Optimum-Path Forest
inferredcites →https://doi.org/10.1016/j.eswa.2016.10.054openalex-snapshot
Analyzing the effects of binarization techniques when solving the set covering problem through swarm optimization
inferredcites →https://doi.org/10.1016/j.eswa.2017.04.023openalex-snapshot
Whale Optimization Algorithm and Moth-Flame Optimization for multilevel thresholding image segmentation
inferredcites →https://doi.org/10.1016/j.eswa.2019.112976openalex-snapshot
Gaussian mutational chaotic fruit fly-built optimization and feature selection
inferredcites →https://doi.org/10.1016/j.eswa.2020.113873openalex-snapshot
Dynamic Salp swarm algorithm for feature selection
inferredcites →https://doi.org/10.1016/j.eswa.2022.116942openalex-snapshot
X-ray image based COVID-19 detection using evolutionary deep learning approach
inferredcites →https://doi.org/10.1016/j.eswa.2022.117493openalex-snapshot
An improved group teaching optimization algorithm based on local search and chaotic map for feature selection in high-dimensional data
inferredcites →https://doi.org/10.1016/j.eswa.2022.118107openalex-snapshot
Normalized Mutual Information-based equilibrium optimizer with chaotic maps for wrapper-filter feature selection
inferredcites →https://doi.org/10.1016/j.ins.2021.07.093openalex-snapshot
A novel hybrid particle swarm optimization using adaptive strategy
inferredcites →https://doi.org/10.1016/j.jbi.2017.03.002openalex-snapshot
Classification of toxicity effects of biotransformed hepatic drugs using whale optimized support vector machines
inferredcites →https://doi.org/10.1016/j.jss.2023.111801openalex-snapshot
A hybrid grey wolf optimizer using opposition-based learning, sine cosine algorithm and reinforcement learning for reliable scheduling and resource allocation
inferredcites →https://doi.org/10.1016/j.knosys.2015.12.022openalex-snapshot
SCA: A Sine Cosine Algorithm for solving optimization problems
inferredcites →https://doi.org/10.1016/j.knosys.2018.05.009openalex-snapshot
An efficient binary Salp Swarm Algorithm with crossover scheme for feature selection problems
inferredcites →https://doi.org/10.1016/j.knosys.2018.08.003openalex-snapshot
Binary dragonfly optimization for feature selection using time-varying transfer functions
inferredcites →https://doi.org/10.1016/j.knosys.2022.108771openalex-snapshot
Binary Golden Eagle Optimizer with Time-Varying Flight Length for feature selection
inferredcites →https://doi.org/10.1016/j.knosys.2022.109081openalex-snapshot
An intelligent metaphor-free spatial information sampling algorithm for balancing exploitation and exploration
inferredcites →https://doi.org/10.1016/j.neucom.2017.04.053openalex-snapshot
Hybrid Whale Optimization Algorithm with simulated annealing for feature selection
inferredcites →https://doi.org/10.1016/j.neucom.2023.126630openalex-snapshot
Nature-inspired algorithms for 0-1 knapsack problem: A survey
inferredcites →https://doi.org/10.1016/j.swevo.2012.09.002openalex-snapshot
S-shaped versus V-shaped transfer functions for binary Particle Swarm Optimization
inferredcites →https://doi.org/10.1016/s0377-2217(99)00260-xopenalex-snapshot
New trends in exact algorithms for the 0–1 knapsack problem
inferredcites →https://doi.org/10.1023/a:1021251113462openalex-snapshot
Simple Explanation of the No-Free-Lunch Theorem and Its Implications
inferredcites →https://doi.org/10.1080/02522667.2018.1453667openalex-snapshot
A new sine cosine algorithm for economic and emission dispatch problems with price penalty factors
inferredcites →https://doi.org/10.1080/15325008.2019.1602687openalex-snapshot
Hybrid Whale Optimization Algorithm and Grey Wolf Optimizer Algorithm for Optimal Coordination of Direction Overcurrent Relays
inferredcites →https://doi.org/10.1108/compel-09-2015-0337openalex-snapshot
Grey wolf optimization based parameter selection for support vector machines
inferredcites →https://doi.org/10.1109/4235.585893openalex-snapshot
No free lunch theorems for optimization
inferredcites →https://doi.org/10.1109/access.2018.2890533openalex-snapshot
A Novel Modified Sine-Cosine Optimized MPPT Algorithm for Grid Integrated PV System under Real Operating Conditions
inferredcites →https://doi.org/10.1109/access.2021.3117853openalex-snapshot
An Improved Binary Grey-Wolf Optimizer With Simulated Annealing for Feature Selection
inferredcites →https://doi.org/10.1109/access.2022.3174854openalex-snapshot
Improved Reptile Search Optimization Algorithm Using Chaotic Map and Simulated Annealing for Feature Selection in Medical Field
inferredcites →https://doi.org/10.1109/access.2022.3189476openalex-snapshot
Multiobjective Harris Hawks Optimization With Associative Learning and Chaotic Local Search for Feature Selection
inferredcites →https://doi.org/10.1109/access.2022.3200386openalex-snapshot
Chaotic Mapping Based Advanced Aquila Optimizer With Single Stage Evolutionary Algorithm
inferredcites →https://doi.org/10.1109/icaacca51523.2021.9465259openalex-snapshot
Embedding Q-Learning in the selection of metaheuristic operators: The enhanced binary grey wolf optimizer case
inferredcites →https://doi.org/10.1109/icmic.2016.7804267openalex-snapshot
A hybrid whale algorithm and pattern search technique for optimal power flow problem
inferredcites →https://doi.org/10.1109/icsmc.1997.637339openalex-snapshot
A discrete binary version of the particle swarm algorithm
inferredcites →https://doi.org/10.1109/pecon.2014.7062431openalex-snapshot
Grey Wolf Optimizer for solving economic dispatch problems
inferredcites →https://doi.org/10.1109/rast.2017.8002982openalex-snapshot
Re-entry trajectory optimization for space shuttle using Sine-Cosine Algorithm
inferredcites →https://doi.org/10.1109/tsmc.2019.2956121openalex-snapshot
Chaotic Local Search-Based Differential Evolution Algorithms for Optimization
inferredcites →https://doi.org/10.1111/risa.12036openalex-snapshot
An Approach for Optimal Allocation of Safety Resources: Using the Knapsack Problem to Take Aggregated Cost‐Efficient Preventive Measures
inferredcites →https://doi.org/10.1140/epjst/e2020-900177-6openalex-snapshot
A fractional map with hidden attractors: chaos and control
inferredcites →https://doi.org/10.1145/321864.321873openalex-snapshot
Approximate Algorithms for the 0/1 Knapsack Problem
inferredcites →https://doi.org/10.1155/2014/924652openalex-snapshot
The Effects of Using Chaotic Map on Improving the Performance of Multiobjective Evolutionary Algorithms
inferredcites →https://doi.org/10.1155/2015/120975openalex-snapshot
Dynamic Modeling of Steam Condenser and Design of PI Controller Based on Grey Wolf Optimizer
inferredcites →https://doi.org/10.1155/2017/8404231openalex-snapshot
Putting Continuous Metaheuristics to Work in Binary Search Spaces
inferredcites →https://doi.org/10.1155/2021/7796696openalex-snapshot
A Feature Selection Method by using Chaotic Cuckoo Search Optimization Algorithm with Elitist Preservation and Uniform Mutation for Data Classification
inferredcites →https://doi.org/10.1214/aoms/1177730491openalex-snapshot
On a Test of Whether one of Two Random Variables is Stochastically Larger than the Other
inferredcites →https://doi.org/10.14311/nnw.2016.26.023openalex-snapshot
CLASSIFICATION OF SONAR DATA SET USING NEURAL NETWORK TRAINED BY GRAY WOLF OPTIMIZATION
inferredcites →https://doi.org/10.1515/jisys-2014-0137openalex-snapshot
Grey Wolf Algorithm-Based Clustering Technique
inferredcites →https://doi.org/10.15282/ijets.5.2016.1.2.1041openalex-snapshot
Study of The Economic Dispatch Problem on IEEE 30-Bus System using Whale Optimization Algorithm
inferredcites →https://doi.org/10.3233/jifs-16798openalex-snapshot
An improved butterfly optimization algorithm with chaos
inferredcites →https://doi.org/10.3390/biomimetics8050400openalex-snapshot
Binarization of Metaheuristics: Is the Transfer Function Really Important?
inferredcites →https://doi.org/10.3390/en10070874openalex-snapshot
Energy-Related CO2 Emissions Forecasting Using an Improved LSSVM Model Optimized by Whale Optimization Algorithm
inferredcites →https://doi.org/10.3390/math10173183openalex-snapshot
Binarization Technique Comparisons of Swarm Intelligence Algorithm: An Application to the Multi-Demand Multidimensional Knapsack Problem
inferredcites →https://doi.org/10.3390/math10234529openalex-snapshot
Embedded Learning Approaches in the Whale Optimizer to Solve Coverage Combinatorial Problems
inferredcites →https://doi.org/10.3390/math10244776openalex-snapshot
Swarm-Inspired Computing to Solve Binary Optimization Problems: A Backward Q-Learning Binarization Scheme Selector
inferredcites →https://doi.org/10.3390/math11010129openalex-snapshot
Continuous Metaheuristics for Binary Optimization Problems: An Updated Systematic Literature Review
inferredcites →https://doi.org/10.3390/math11122695openalex-snapshot
Exploring Initialization Strategies for Metaheuristic Optimization: Case Study of the Set-Union Knapsack Problem
inferredcites →https://doi.org/10.3390/math11163475openalex-snapshot
A Binary Black Widow Optimization Algorithm for Addressing the Cell Formation Problem Involving Alternative Routes and Machine Reliability
inferredcites →https://doi.org/10.3390/math9161839openalex-snapshot
Q-Learnheuristics: Towards Data-Driven Balanced Metaheuristics
inferredcites →https://doi.org/10.3390/math9222887openalex-snapshot
A Novel Learning-Based Binarization Scheme Selector for Swarm Algorithms Solving Combinatorial Problems
inferredcites →https://doi.org/10.3390/sym12111782openalex-snapshot
An Asymmetric Chaotic Competitive Swarm Optimization Algorithm for Feature Selection in High-Dimensional Data
inferredcites →https://doi.org/10.5121/acij.2019.10501openalex-snapshot
Binary Sine Cosine Algorithms for Feature Selection from Medical Data
inferredcites →https://doi.org/10.6180/jase.202306_26(6).0015openalex-snapshot
An Improved Binary Cuckoo Search Algorithm For Feature Selection Using Filter Method And Chaotic Map
inferredcites →https://doi.org/10.7763/ijmlc.2012.v2.114openalex-snapshot
BMOA: Binary Magnetic Optimization Algorithm
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/fuce.70140openalex-snapshot
Electrochemical Parameter Extraction of Proton Exchange Membrane Fuel Cells Using a Modified Chaos and Lévy Flight–Driven Kepler Optimization Algorithm
inferred← citeshttps://doi.org/10.1007/978-3-031-74598-0_3openalex-snapshot
Chaotic Binary Fox Optimizer for Solving Set Covering Problem
inferred← citeshttps://doi.org/10.1007/978-3-031-75543-9_6openalex-snapshot
Enhancing Reptile Search Algorithm Performance for the Knapsack Problem with Integration of Chaotic Map
inferred← citeshttps://doi.org/10.1007/978-3-031-83210-9_5openalex-snapshot
Unleashing Chaos: Enhanced Reptile Search for the Set Covering Problem
inferred← citeshttps://doi.org/10.1007/978-3-032-13589-6_9openalex-snapshot
Chaotic Binarization of Tasmanian Devil Optimization for Solving the Knapsack Problem
inferred← citeshttps://doi.org/10.1007/s42979-025-03758-zopenalex-snapshot
Exploring Chaotic Binarization Rules in the Binary Fox Optimizer for Complex Optimization Problems
inferred← citeshttps://doi.org/10.1038/s41598-024-63188-4openalex-snapshot
A multi-strategy improved rime optimization algorithm for three-dimensional USV path planning and global optimization
inferred← citeshttps://doi.org/10.1109/etncc66224.2025.11299721openalex-snapshot
Metaheuristics with or Without Chaos
inferred← citeshttps://doi.org/10.2139/ssrn.7309306openalex-snapshot
Calibrated posterior binarization for continuous metaheuristics in binary optimization
inferred← citeshttps://doi.org/10.3390/biomimetics11010010openalex-snapshot
Binary Pufferfish Optimization Algorithm for Combinatorial Problems
inferred← citeshttps://doi.org/10.3390/biomimetics11080540openalex-snapshot
Chaotic Regulation of Exploration and Exploitation in Bio-Inspired Swarm Intelligence for Combinatorial Optimization
inferred← citeshttps://doi.org/10.3390/biomimetics9050283openalex-snapshot
A Novel Approach to Combinatorial Problems: Binary Growth Optimizer Algorithm
inferred← citeshttps://doi.org/10.3390/math12203171openalex-snapshot
A Binary Chaotic White Shark Optimizer
inferred← citeshttps://doi.org/10.3390/math13132175openalex-snapshot
Binary Chaotic White Shark Optimizer for the Unicost Set Covering Problem
inferred← citeshttps://doi.org/10.53391/mmnsa.1571964openalex-snapshot
Effect of chaos on the performance of spider wasp meta-heuristic optimization algorithm for high-dimensional optimization 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.