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
A surrogate-assisted evolutionary algorithm with dual restricted Boltzmann machines and reinforcement learning-based adaptive strategy selection	78
An adaptive reference vector guided many-objective optimization algorithm based on the pareto front density estimation	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
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
A novel particle swarm optimization algorithm with Lévy flight and orthogonal learning	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
Two-stage knowledge-driven evolutionary algorithm for distributed green flexible job shop scheduling with type-2 fuzzy processing time	69
A multi-objective evolutionary algorithm for feature selection incorporating dominance-based initialization and duplication analysis	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
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
Population-level center-based sampling for meta-heuristic algorithms	61
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 cooperative iterated greedy algorithm for the distributed flowshop group robust scheduling problem with uncertain processing times	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
Swarm intelligence applications for emergency evacuation planning: state of the art, recent developments, and future research opportunities	57
Pareto multi-objective optimization for high locality-preserving space-filling curve identification	57
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
A multi-stage knowledge-guided evolutionary algorithm for large-scale sparse multi-objective optimization problems	56
Interactive niching-based two-stage evolutionary algorithm for constrained multiobjective optimization	55
Differential evolution with bi-strategy co-deployment framework and diversity improvement	55
DANCE: Distributed co-evolutionary design of velocity controllers for swarm intelligence robots in flocking and entrapping tasks	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
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
Industrial activated sludge model identification using hyperparameter-tuned metaheuristics	51