OOIR: Observatory of International Research

Papers

(The H4-Index of Swarm and Evolutionary Computation is 51. 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 2022-06-01 to 2026-06-01.)

Article	Citations
Editorial Board	178
Multifactorial differential evolution enhanced by adaptive Gaussian-mixture-model-based knowledge transfer	152
Corrigendum to “Optimizing parameters in swarm intelligence using reinforcement learning: An application of Proximal Policy Optimization to the iSOMA algorithm” [Swarm and Evolutionary Computation Vol	128
Redefined decision variable analysis method for large-scale optimization and its application to feature selection	124
Efficient search of decision makers’ region of interest by using preference directions in multi-objective coevolutionary algorithm	122
A knee-guided prediction model oriented to population composition structures for dynamic multi-objective evolutionary optimization	121
A global feedback learning-based memetic algorithm for energy-aware scheduling in collaborative heterogeneous flexible job shops	114
A Q-learning based artificial bee colony algorithm for solving surgery scheduling problems with setup time	110
Differential evolution with evolutionary scale adaptation	108
A two-stage adaptive variable neighborhood search approach for electric vehicle routing problem with fuzzy demand	108
Choice of benchmark optimization problems does matter	106
A balance-oriented iterative greedy algorithm for the distributed heterogeneous hybrid flow-shop scheduling problem with blocking constraints	93
A modified adaptive switching-based many-objective evolutionary algorithm for distributed heterogeneous flowshop scheduling with lot-streaming	92
Conditional diffusion with gradient guidance for high-dimensional expensive multi-objective optimization	91
Dual-individual genetic algorithm: A dual-individual approach for efficient training of multi-layer neural networks	86
Quantum circuit mapping based on discrete particle swarm optimization and deep reinforcement learning	82
Secure key based cloud security utilizing three-way protection with martino homomorphic encryption for preventing unauthorized data access	81
A dueling double deep Q network assisted cooperative dual-population coevolutionary algorithm for multi-objective combined economic and emission dispatch problems	79
An adaptive reference vector guided many-objective optimization algorithm based on the pareto front density estimation	78
A surrogate-assisted evolutionary algorithm with dual restricted Boltzmann machines and reinforcement learning-based adaptive strategy selection	78
Random projection enhancement: A Novel method for improving performance of surrogate models	77
An optimized watermarking scheme based on genetic algorithm and elliptic curve	75
A novel particle swarm optimization algorithm with Lévy flight and orthogonal learning	74
Memory backtracking strategy: An evolutionary updating mechanism for meta-heuristic algorithms	74
Large language models as surrogate models in evolutionary algorithms: A preliminary study	74

An improved shuffled frog leaping algorithm based on support vector machine for hybrid flow shop rescheduling with disturbance prediction	72
Combining single objective dispatching rules into multi-objective ensembles for the dynamic unrelated machines environment	70
A multi-objective evolutionary algorithm for feature selection incorporating dominance-based initialization and duplication analysis	69
Two-stage knowledge-driven evolutionary algorithm for distributed green flexible job shop scheduling with type-2 fuzzy processing time	69
A Nonlinear Dimensionality Reduction Search Improved Differential Evolution for large-scale optimization	66
Multi-UAV reconnaissance mission planning via deep reinforcement learning with simulated annealing	65
Population-level center-based sampling for meta-heuristic algorithms	61
A coevolutionary algorithm for constrained multi-objective optimization with dynamic relaxation	61
Multi-operator opposition-based learning with the neighborhood structure for numerical optimization problems and its applications	61
A cooperative iterated greedy algorithm for the distributed flowshop group robust scheduling problem with uncertain processing times	60
A Generational Difference Vector based Tri-Entropy Structure Optimizer for large-scale multiobjective optimization	60
Exploring high-dimensional optimization by sparse and low-rank evolution strategy	60
A manifold prediction strategy for evolutionary dynamic multiobjective optimization	59
Graph embedding based ant colony optimization for negative influence propagation suppression under cost constraints	58
Pareto multi-objective optimization for high locality-preserving space-filling curve identification	57
Swarm intelligence applications for emergency evacuation planning: state of the art, recent developments, and future research opportunities	57
A multi-stage knowledge-guided evolutionary algorithm for large-scale sparse multi-objective optimization problems	56
Integrating evacuation and relief redistribution into last-mile relief network design: A two-stage distributionally robust optimization approach	56
Multi-objective evolutionary algorithms for solving a green multi-item fixed-charge 5D transportation problem under intuitionistic fuzzy uncertainty	56
DANCE: Distributed co-evolutionary design of velocity controllers for swarm intelligence robots in flocking and entrapping tasks	55
Interactive niching-based two-stage evolutionary algorithm for constrained multiobjective optimization	55
Differential evolution with bi-strategy co-deployment framework and diversity improvement	55
KDDCP: Kernel density driven cumulative probability-cooperated framework for constrained muti-objective optimization	54
Welcome from Editor-in-Chief of Swarm and Evolutionary Computation	53
Industrial activated sludge model identification using hyperparameter-tuned metaheuristics	51
A multi-objective hierarchical aggregation optimization algorithm for dynamic network structures in federated learning	51
Greedy randomized adaptive search and benders decomposition algorithms to solve the distributed no-idle permutation flowshop scheduling problem	51