OOIR: Observatory of International Research

Papers

(The H4-Index of Swarm and Evolutionary Computation is 45. 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 2021-09-01 to 2025-09-01.)

Article	Citations
Editorial Board	208
Random projection enhancement: A Novel method for improving performance of surrogate models	197
Efficient search of decision makers’ region of interest by using preference directions in multi-objective coevolutionary algorithm	138
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
An adaptive reference vector guided many-objective optimization algorithm based on the pareto front density estimation	114
On the impact of linkage learning, gene-pool optimal mixing, and non-redundant encoding on permutation optimization	106
Large language models as surrogate models in evolutionary algorithms: A preliminary study	104
A multi-objective evolutionary algorithm for feature selection incorporating dominance-based initialization and duplication analysis	101
A Q-learning based artificial bee colony algorithm for solving surgery scheduling problems with setup time	95
A partition-based constrained multi-objective evolutionary algorithm	91
A balance-oriented iterative greedy algorithm for the distributed heterogeneous hybrid flow-shop scheduling problem with blocking constraints	90
Quantum circuit mapping based on discrete particle swarm optimization and deep reinforcement learning	86
A coevolutionary algorithm for constrained multi-objective optimization with dynamic relaxation	82
A dueling double deep Q network assisted cooperative dual-population coevolutionary algorithm for multi-objective combined economic and emission dispatch problems	82
A Nonlinear Dimensionality Reduction Search Improved Differential Evolution for large-scale optimization	80
A novel particle swarm optimization algorithm with Lévy flight and orthogonal learning	75
A surrogate-assisted evolutionary algorithm with dual restricted Boltzmann machines and reinforcement learning-based adaptive strategy selection	71
Two-stage knowledge-driven evolutionary algorithm for distributed green flexible job shop scheduling with type-2 fuzzy processing time	66
Choice of benchmark optimization problems does matter	62
Redefined decision variable analysis method for large-scale optimization and its application to feature selection	60
Memory backtracking strategy: An evolutionary updating mechanism for meta-heuristic algorithms	60
Fractional-Order Ant Colony Algorithm: A Fractional Long Term Memory Based Cooperative Learning Approach	59
Multi-operator opposition-based learning with the neighborhood structure for numerical optimization problems and its applications	58
Differential evolution with evolutionary scale adaptation	57
An optimized watermarking scheme based on genetic algorithm and elliptic curve	57

An improved shuffled frog leaping algorithm based on support vector machine for hybrid flow shop rescheduling with disturbance prediction	56
Combining single objective dispatching rules into multi-objective ensembles for the dynamic unrelated machines environment	56
A modified adaptive switching-based many-objective evolutionary algorithm for distributed heterogeneous flowshop scheduling with lot-streaming	56
Neighborhood-based particle swarm optimization with discrete crossover for nonlinear equation systems	55
Population-level center-based sampling for meta-heuristic algorithms	53
Multi-UAV reconnaissance mission planning via deep reinforcement learning with simulated annealing	53
Pareto multi-objective optimization for high locality-preserving space-filling curve identification	53
DANCE: Distributed co-evolutionary design of velocity controllers for swarm intelligence robots in flocking and entrapping tasks	52
Auxiliary optimization framework based on scaling transformation matrix for large-scale multi-objective problem	52
Decomposition-based dual-population evolutionary algorithm for constrained multi-objective problem	52
A cooperative iterated greedy algorithm for the distributed flowshop group robust scheduling problem with uncertain processing times	51
A hybrid estimation of distribution algorithm for agile earth observing satellite task scheduling problem	50
Swarm intelligence applications for emergency evacuation planning: state of the art, recent developments, and future research opportunities	48
IMNE: Maximizing influence through deep learning-based node embedding in social network	47
KDDCP: Kernel density driven cumulative probability-cooperated framework for constrained muti-objective optimization	47
Optimizing parameters in swarm intelligence using reinforcement learning: An application of Proximal Policy Optimization to the iSOMA algorithm	46
Reinforced steering Evolutionary Markov Chain for high-dimensional feature selection	46
Benchmarking footprints of continuous black-box optimization algorithms: Explainable insights into algorithm success and failure	46
Industrial activated sludge model identification using hyperparameter-tuned metaheuristics	46
On the representativeness metric of benchmark problems in numerical optimization	46
On the elusivity of dynamic optimisation problems	45
Graph embedding based ant colony optimization for negative influence propagation suppression under cost constraints	45