OOIR: Observatory of International Research

Papers

(The H4-Index of Swarm and Evolutionary Computation is 50. 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 2022-05-01 to 2026-05-01.)

Article	Citations
Editorial Board	176
A coevolutionary algorithm for constrained multi-objective optimization with dynamic relaxation	149
A Nonlinear Dimensionality Reduction Search Improved Differential Evolution for large-scale optimization	127
Combining single objective dispatching rules into multi-objective ensembles for the dynamic unrelated machines environment	124
Choice of benchmark optimization problems does matter	117
Differential evolution with evolutionary scale adaptation	117
A two-stage adaptive variable neighborhood search approach for electric vehicle routing problem with fuzzy demand	113
Secure key based cloud security utilizing three-way protection with martino homomorphic encryption for preventing unauthorized data access	107
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	106
Multifactorial differential evolution enhanced by adaptive Gaussian-mixture-model-based knowledge transfer	106
A Q-learning based artificial bee colony algorithm for solving surgery scheduling problems with setup time	100
A knee-guided prediction model oriented to population composition structures for dynamic multi-objective evolutionary optimization	91
A multi-objective evolutionary algorithm for feature selection incorporating dominance-based initialization and duplication analysis	88
A global feedback learning-based memetic algorithm for energy-aware scheduling in collaborative heterogeneous flexible job shops	88
Multi-UAV reconnaissance mission planning via deep reinforcement learning with simulated annealing	86
Efficient search of decision makers’ region of interest by using preference directions in multi-objective coevolutionary algorithm	81
Multi-operator opposition-based learning with the neighborhood structure for numerical optimization problems and its applications	80
Memory backtracking strategy: An evolutionary updating mechanism for meta-heuristic algorithms	78
Two-stage knowledge-driven evolutionary algorithm for distributed green flexible job shop scheduling with type-2 fuzzy processing time	77
An improved shuffled frog leaping algorithm based on support vector machine for hybrid flow shop rescheduling with disturbance prediction	77
An adaptive reference vector guided many-objective optimization algorithm based on the pareto front density estimation	76
An optimized watermarking scheme based on genetic algorithm and elliptic curve	74
Quantum circuit mapping based on discrete particle swarm optimization and deep reinforcement learning	73
A dueling double deep Q network assisted cooperative dual-population coevolutionary algorithm for multi-objective combined economic and emission dispatch problems	71
Random projection enhancement: A Novel method for improving performance of surrogate models	70

A balance-oriented iterative greedy algorithm for the distributed heterogeneous hybrid flow-shop scheduling problem with blocking constraints	70
A novel particle swarm optimization algorithm with Lévy flight and orthogonal learning	68
Large language models as surrogate models in evolutionary algorithms: A preliminary study	67
Redefined decision variable analysis method for large-scale optimization and its application to feature selection	65
A surrogate-assisted evolutionary algorithm with dual restricted Boltzmann machines and reinforcement learning-based adaptive strategy selection	63
Dual-individual genetic algorithm: A dual-individual approach for efficient training of multi-layer neural networks	63
A modified adaptive switching-based many-objective evolutionary algorithm for distributed heterogeneous flowshop scheduling with lot-streaming	60
Population-level center-based sampling for meta-heuristic algorithms	60
Conditional diffusion with gradient guidance for high-dimensional expensive multi-objective optimization	60
Exploring high-dimensional optimization by sparse and low-rank evolution strategy	59
On the representativeness metric of benchmark problems in numerical optimization	58
A Generational Difference Vector based Tri-Entropy Structure Optimizer for large-scale multiobjective optimization	58
GTG-ACO: Graph Transformer Guided Ant Colony Optimization for learning heuristics and pheromone dynamics for combinatorial optimization	57
A manifold prediction strategy for evolutionary dynamic multiobjective optimization	57
Pareto multi-objective optimization for high locality-preserving space-filling curve identification	56
Optimizing multi-period multi-mode multi-time window home health care scheduling with an improved tabu search algorithm	55
Dynamic multi-objective optimization algorithm based on incremental Gaussian mixture model	55
Auxiliary optimization framework based on scaling transformation matrix for large-scale multi-objective problem	55
Optimizing parameters in swarm intelligence using reinforcement learning: An application of Proximal Policy Optimization to the iSOMA algorithm	55
Welcome from Editor-in-Chief of Swarm and Evolutionary Computation	54
KDDCP: Kernel density driven cumulative probability-cooperated framework for constrained muti-objective optimization	54
A decimal artificial bee colony with elite strategy for the cutting stock problem with irregular items	54
Industrial activated sludge model identification using hyperparameter-tuned metaheuristics	53
A many-objective evolutionary algorithm based on constraints for collaborative computation offloading	53
A metaheuristic approach for mining gradual patterns	51
On the elusivity of dynamic optimisation problems	50