Swarm and Evolutionary Computation

Papers
(The H4-Index of Swarm and Evolutionary Computation is 43. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-05-01 to 2025-05-01.)
ArticleCitations
Editorial Board321
A surrogate-assisted evolutionary algorithm with dual restricted Boltzmann machines and reinforcement learning-based adaptive strategy selection253
Random projection enhancement: A Novel method for improving performance of surrogate models180
Efficient search of decision makers’ region of interest by using preference directions in multi-objective coevolutionary algorithm167
Differential evolution with evolutionary scale adaptation127
Corrigendum to “Optimizing parameters in swarm intelligence using reinforcement learning: An application of Proximal Policy Optimization to the iSOMA algorithm” [Swarm and Evolutionary Computation Vol122
An optimized watermarking scheme based on genetic algorithm and elliptic curve117
Multi-UAV reconnaissance mission planning via deep reinforcement learning with simulated annealing116
An improved shuffled frog leaping algorithm based on support vector machine for hybrid flow shop rescheduling with disturbance prediction101
On the impact of linkage learning, gene-pool optimal mixing, and non-redundant encoding on permutation optimization100
Large language models as surrogate models in evolutionary algorithms: A preliminary study90
Choice of benchmark optimization problems does matter89
Combining single objective dispatching rules into multi-objective ensembles for the dynamic unrelated machines environment86
A modified adaptive switching-based many-objective evolutionary algorithm for distributed heterogeneous flowshop scheduling with lot-streaming85
A Q-learning based artificial bee colony algorithm for solving surgery scheduling problems with setup time83
A novel particle swarm optimization algorithm with Lévy flight and orthogonal learning82
Fractional-Order Ant Colony Algorithm: A Fractional Long Term Memory Based Cooperative Learning Approach71
A Nonlinear Dimensionality Reduction Search Improved Differential Evolution for large-scale optimization68
An adaptive reference vector guided many-objective optimization algorithm based on the pareto front density estimation68
Redefined decision variable analysis method for large-scale optimization and its application to feature selection66
Neighborhood-based particle swarm optimization with discrete crossover for nonlinear equation systems64
A partition-based constrained multi-objective evolutionary algorithm62
Multi-operator opposition-based learning with the neighborhood structure for numerical optimization problems and its applications61
Two-stage knowledge-driven evolutionary algorithm for distributed green flexible job shop scheduling with type-2 fuzzy processing time61
A knee-oriented many-objective differential evolution with bi-strategy and Manhattan distance-domination range52
Memory backtracking strategy: An evolutionary updating mechanism for meta-heuristic algorithms52
Population-level center-based sampling for meta-heuristic algorithms52
Pareto multi-objective optimization for high locality-preserving space-filling curve identification49
IMNE: Maximizing influence through deep learning-based node embedding in social network49
Graph embedding based ant colony optimization for negative influence propagation suppression under cost constraints49
Benchmarking footprints of continuous black-box optimization algorithms: Explainable insights into algorithm success and failure48
Surrogate-assisted differential evolution: A survey47
DANCE: Distributed co-evolutionary design of velocity controllers for swarm intelligence robots in flocking and entrapping tasks47
On the elusivity of dynamic optimisation problems46
An enhanced estimation of distribution algorithm with problem-specific knowledge for distributed no-wait flowshop group scheduling problems45
A cooperative iterated greedy algorithm for the distributed flowshop group robust scheduling problem with uncertain processing times45
Optimizing parameters in swarm intelligence using reinforcement learning: An application of Proximal Policy Optimization to the iSOMA algorithm45
Formulating approximation error as noise in surrogate-assisted multi-objective evolutionary algorithm45
Two novel population based algorithms for the single machine scheduling problem with sequence dependent setup times and release times44
On the representativeness metric of benchmark problems in numerical optimization44
Reinforced steering Evolutionary Markov Chain for high-dimensional feature selection44
A hybrid optimization algorithm for structural balance model based on influence between nodes and community quality43
COARSE-EMOA: An indicator-based evolutionary algorithm for solving equality constrained multi-objective optimization problems43
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