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Evolutionary dynamic grou** based cooperative co-evolution algorithm for large-scale optimization
AbstractTo effectively address large-scale optimization problems, this paper proposes an evolutionary dynamic grou** (EDG) based cooperative...
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Love Evolution Algorithm: a stimulus–value–role theory-inspired evolutionary algorithm for global optimization
This paper proposes the Love Evolution Algorithm (LEA), a novel evolutionary algorithm inspired by the stimulus–value–role theory. The optimization...
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A Novel Batch Framework-Based Performance Improvement of Evolutionary Algorithm
Evolutionary algorithms are widely used methodologies for problem-solving and are covered under the umbrella term of evolutionary computation (EC)....
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Evolutionary mating algorithm
This paper proposes a new evolutionary algorithm namely Evolutionary Mating Algorithm (EMA) to solve constrained optimization problems. The algorithm...
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A novel evolutionary status guided hyper-heuristic algorithm for continuous optimization
This paper proposes a novel evolutionary status guided hyper-heuristic algorithm named ES-HHA for continuous optimization. A representative...
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Decomposition-based multiobjective evolutionary algorithm with density estimation-based dynamical neighborhood strategy
The multiobjective evolutionary algorithm based on decomposition (MOEA/D) decomposes a multiobjective optimization problem (MOP) into several scalar...
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An adaptive boundary-based selection many-objective evolutionary algorithm with density estimation
Many-objective evolutionary algorithms often struggle to strike a balance between convergence and diversity when solving many-objective optimization...
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A parametric segmented multifactorial evolutionary algorithm based on a three-phase analysis
Evolutionary multitasking optimization, which concentrates on solving multiple tasks simultaneously, has been a core area of interest for researchers...
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Cost-constrained network dismantling using quadratic evolutionary algorithm for interdependent networks
The dismantling and protection of networks is a significant problem that has wide-ranging applications and attracts many researchers. Most current...
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Cognitive radio resource scheduling using an adaptive multiobjective evolutionary algorithm
With the proliferation of IoT devices and the increasing popularity of location-oriented services in cyber-physical-social systems, the cognitive...
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A cooperative co-evolutionary genetic algorithm for query recommendation
Search engines often recommend a few queries related to the users’ original query to help them find the content they are searching. Since extracting...
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A multi-population evolutionary algorithm for multi-objective constrained portfolio optimization problem
Due to the rapid development of the financial market, the portfolio selection problem has become of the most complex problem in finance. This paper...
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EATFormer: Improving Vision Transformer Inspired by Evolutionary Algorithm
Motivated by biological evolution, this paper explains the rationality of Vision Transformer by analogy with the proven practical evolutionary...
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Multipopulation-based multi-tasking evolutionary algorithm
Multi-tasking optimization (MTO) has attracted more and more attention from researchers in the area of evolutionary computing. The main factor...
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Efficient constrained large-scale multi-objective optimization based on reference vector-guided evolutionary algorithm
The large-scale multi-objective optimization problem exist widely in reality while they have complex constraints. The simultaneous effect of the...
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The Multi-Factorial Evolutionary Algorithm
This chapter presents the first version of the well-known multifactorial evolutionary algorithm (MFEA).
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A many-objective evolutionary algorithm based on novel fitness estimation and grou** layering
Many-objective optimization problems pose a great challenge for traditional Pareto-based multi-objective evolutionary algorithms (MOEAs), due to the...
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A large-scale multiobjective evolutionary algorithm with overlap** decomposition and adaptive reference point selection
Many large-scale multiobjective optimization problems with large decision space hinder the convergence search of evolutionary algorithms in various...
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An improved master-apprentice evolutionary algorithm for minimum independent dominating set problem
The minimum independent dominance set (MIDS) problem is an important version of the dominating set with some other applications. In this work, we...
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A Correlation-Redundancy Guided Evolutionary Algorithm and Its Application to High-Dimensional Feature Selection in Classification
The processing of high-dimensional datasets has become unavoidable with the development of information technology. Most of the literature on feature...
