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Memory enhanced evolutionary algorithms for changing optimization problems

https://doi.org/10.1109/cec.1999.785502
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Outgoing claims: the papers this work cites, builds on, or argues with.

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Adaptation to a changing environment by means of the thermodynamical genetic algorithm
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Supporting polyploidy in genetic algorithms using dominance vectors
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A comparison of dominance mechanisms and simple mutation on non-stationary problems
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Polygenic inheritance — A haploid scheme that can outperform diploidy
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The job shop tardiness problem: A decomposition approach
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Adding memory to the Evolutionary Planner/Navigator
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Incorporating Redundancy and Gene Activation Mechanisms i n Genetic search for adapting to Non-Stationary Environments
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An Investigation into the Use of Hypermutation as an Adaptive Operator in Genetic Algorithms Having Continuous, Time-Dependent Nonstationary Environments
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Adaptation to Changing Environments by Means of the Memory Based Thermodynamical Genetic Algorithm

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

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The Memory Indexing Evolutionary Algorithm for Dynamic Environments
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A Memory Enhanced Evolutionary Algorithm for Dynamic Scheduling Problems
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Introduction
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Dynamic Optimization
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Dynamic combinatorial optimisation problems: an analysis of the subset sum problem
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A memetic ant colony optimization algorithm for the dynamic travelling salesman problem
inferred← citeshttps://doi.org/10.1007/s00500-010-0681-0openalex-snapshot
Optimization in dynamic environments: a survey on problems, methods and measures
inferred← citeshttps://doi.org/10.1007/s00500-013-0989-7openalex-snapshot
Best practices in measuring algorithm performance for dynamic optimization problems
inferred← citeshttps://doi.org/10.1007/s00500-013-1022-xopenalex-snapshot
Self-adaptive, multipopulation differential evolution in dynamic environments
inferred← citeshttps://doi.org/10.1007/s00500-013-1094-7openalex-snapshot
A hybrid multi-population framework for dynamic environments combining online and offline learning
inferred← citeshttps://doi.org/10.1007/s00500-013-1138-zopenalex-snapshot
Utilizing time-linkage property in DOPs: An information sharing based Artificial Bee Colony algorithm for tracking multiple optima in uncertain environments
inferred← citeshttps://doi.org/10.1007/s00500-013-1153-0openalex-snapshot
A DE and PSO based hybrid algorithm for dynamic optimization problems
inferred← citeshttps://doi.org/10.1007/s00500-014-1273-1openalex-snapshot
Dynamic optimization facilitated by the memory tree
inferred← citeshttps://doi.org/10.1007/s00500-014-1438-yopenalex-snapshot
Population statistics for particle swarm optimization: Single-evaluation methods in noisy optimization problems
inferred← citeshttps://doi.org/10.1007/s00500-015-1803-5openalex-snapshot
On the applicability of diploid genetic algorithms in dynamic environments
inferred← citeshttps://doi.org/10.1007/s00500-015-1951-7openalex-snapshot
A novel approach for optimization in dynamic environments based on modified cuckoo search algorithm
inferred← citeshttps://doi.org/10.1007/s00500-016-2044-yopenalex-snapshot
Discussion on semi-immune algorithm behaviour based on fractal analysis
inferred← citeshttps://doi.org/10.1007/s00500-016-2195-xopenalex-snapshot
Adaptive-mutation compact genetic algorithm for dynamic environments
inferred← citeshttps://doi.org/10.1007/s00500-017-2660-1openalex-snapshot
Impact of sensor-based change detection schemes on the performance of evolutionary dynamic optimization techniques
inferred← citeshttps://doi.org/10.1007/s00500-017-2917-8openalex-snapshot
Arithmetic and parent-centric headless chicken crossover operators for dynamic particle swarm optimization algorithms
inferred← citeshttps://doi.org/10.1007/s10489-011-0317-9openalex-snapshot
Performance evaluation of evolutionary heuristics in dynamic environments
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The sandpile mutation Genetic Algorithm: an investigation on the working mechanisms of a diversity-oriented and self-organized mutation operator for non-stationary functions
inferred← citeshttps://doi.org/10.1007/s10489-013-0483-zopenalex-snapshot
CDEPSO: a bi-population hybrid approach for dynamic optimization problems
inferred← citeshttps://doi.org/10.1007/s10489-015-0727-1openalex-snapshot
Towards a dynamic modeling of the predator prey problem
inferred← citeshttps://doi.org/10.1007/s10489-017-0895-2openalex-snapshot
WD2O: a novel wind driven dynamic optimization approach with effective change detection
inferred← citeshttps://doi.org/10.1007/s10489-017-0963-7openalex-snapshot
An adaptive bi-flight cuckoo search with variable nests for continuous dynamic optimization problems
inferred← citeshttps://doi.org/10.1007/s10489-018-1147-9openalex-snapshot
Global replacement-based differential evolution with neighbor-based memory for dynamic optimization
inferred← citeshttps://doi.org/10.1007/s10489-018-1197-zopenalex-snapshot
Explicit memory based ABC with a clustering strategy for updating and retrieval of memory in dynamic environments
inferred← citeshttps://doi.org/10.1007/s10589-009-9244-7openalex-snapshot
Multi-population interactive coevolutionary algorithm for flexible job shop scheduling problems
inferred← citeshttps://doi.org/10.1007/s10710-006-9014-6openalex-snapshot
A hierarchical particle swarm optimizer for noisy and dynamic environments
inferred← citeshttps://doi.org/10.1007/s10710-021-09404-wopenalex-snapshot
Genetic programming-based regression for temporal data
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A multiple local search algorithm for continuous dynamic optimization
inferred← citeshttps://doi.org/10.1007/s10845-008-0216-zopenalex-snapshot
An efficient search method for multi-objective flexible job shop scheduling problems
inferred← citeshttps://doi.org/10.1007/s10845-017-1319-1openalex-snapshot
Constrained dynamic multi-objective evolutionary optimization for operational indices of beneficiation process
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Multi-population Based Univariate Marginal Distribution Algorithm for Dynamic Optimization Problems
inferred← citeshttps://doi.org/10.1007/s10922-024-09822-yopenalex-snapshot
Novel Initialization Functions for Metaheuristic-Based Online Virtual Network Embedding
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A particle swarm optimization based memetic algorithm for dynamic optimization problems
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Global memory schemes for dynamic optimization
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New measures for comparing optimization algorithms on dynamic optimization problems
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An enhanced genetic algorithm for constrained knapsack problems in dynamic environments
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Improved spherical search algorithm with memory-based dynamic population for optimization
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Immigrant schemes for evolutionary algorithms in dynamic environments: Adapting the replacement rate
inferred← citeshttps://doi.org/10.1007/s11633-007-0243-9openalex-snapshot
A hybrid immigrants scheme for genetic algorithms in dynamic environments
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A competitive clustering particle swarm optimizer for dynamic optimization problems
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An immune system based differential evolution algorithm using near-neighbor effect in dynamic environments
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Immune response-based algorithm for optimization of dynamic environments
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Cooperative coevolutionary algorithms for dynamic optimization: an experimental study
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Empirical analysis of evolutionary algorithms with immigrants schemes for dynamic optimization
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Multi-strategy ensemble evolutionary algorithm for dynamic multi-objective optimization
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Dynamic function optimisation with hybridised extremal dynamics
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A cooperative strategy for solving dynamic optimization problems
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Efficient multi-swarm PSO algorithms for dynamic environments
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A framework for finding robust optimal solutions over time
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A multipopulation evolutionary framework with Steffensen’s method for dynamic multiobjective optimization problems
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Optimization with a novel hybrid algorithm and applications
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Parallel hybridization of differential evolution and particle swarm optimization for constrained optimization with its application
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