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 2022-01-01 to 2026-01-01.)

Article	Citations
Quantum circuit mapping based on discrete particle swarm optimization and deep reinforcement learning	226
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	158
An adaptive reference vector guided many-objective optimization algorithm based on the pareto front density estimation	121
Random projection enhancement: A Novel method for improving performance of surrogate models	120
Efficient search of decision makers’ region of interest by using preference directions in multi-objective coevolutionary algorithm	112
Editorial Board	111
A Nonlinear Dimensionality Reduction Search Improved Differential Evolution for large-scale optimization	101
On the impact of linkage learning, gene-pool optimal mixing, and non-redundant encoding on permutation optimization	101
A coevolutionary algorithm for constrained multi-objective optimization with dynamic relaxation	100
Multifactorial differential evolution enhanced by adaptive Gaussian-mixture-model-based knowledge transfer	97
Redefined decision variable analysis method for large-scale optimization and its application to feature selection	97
An optimized watermarking scheme based on genetic algorithm and elliptic curve	94
A multi-objective evolutionary algorithm for feature selection incorporating dominance-based initialization and duplication analysis	94
A surrogate-assisted evolutionary algorithm with dual restricted Boltzmann machines and reinforcement learning-based adaptive strategy selection	83
A novel particle swarm optimization algorithm with Lévy flight and orthogonal learning	82
A dueling double deep Q network assisted cooperative dual-population coevolutionary algorithm for multi-objective combined economic and emission dispatch problems	81
A balance-oriented iterative greedy algorithm for the distributed heterogeneous hybrid flow-shop scheduling problem with blocking constraints	78
A modified adaptive switching-based many-objective evolutionary algorithm for distributed heterogeneous flowshop scheduling with lot-streaming	78
Dual-individual genetic algorithm: A dual-individual approach for efficient training of multi-layer neural networks	75
Multi-operator opposition-based learning with the neighborhood structure for numerical optimization problems and its applications	74
Multi-UAV reconnaissance mission planning via deep reinforcement learning with simulated annealing	72
Choice of benchmark optimization problems does matter	70
Combining single objective dispatching rules into multi-objective ensembles for the dynamic unrelated machines environment	67
Neighborhood-based particle swarm optimization with discrete crossover for nonlinear equation systems	66
Fractional-Order Ant Colony Algorithm: A Fractional Long Term Memory Based Cooperative Learning Approach	66

Differential evolution with evolutionary scale adaptation	65
Large language models as surrogate models in evolutionary algorithms: A preliminary study	64
An improved shuffled frog leaping algorithm based on support vector machine for hybrid flow shop rescheduling with disturbance prediction	64
Memory backtracking strategy: An evolutionary updating mechanism for meta-heuristic algorithms	64
Secure key based cloud security utilizing three-way protection with martino homomorphic encryption for preventing unauthorized data access	63
Two-stage knowledge-driven evolutionary algorithm for distributed green flexible job shop scheduling with type-2 fuzzy processing time	61
A Q-learning based artificial bee colony algorithm for solving surgery scheduling problems with setup time	61
Population-level center-based sampling for meta-heuristic algorithms	59
A Generational Difference Vector based Tri-Entropy Structure Optimizer for large-scale multiobjective optimization	58
A bi-objective routing problem for cooperated trucks and drones in river water quality monitoring	58
Exploring high-dimensional optimization by sparse and low-rank evolution strategy	58
Decomposition-based dual-population evolutionary algorithm for constrained multi-objective problem	57
GTG-ACO: Graph Transformer Guided Ant Colony Optimization for learning heuristics and pheromone dynamics for combinatorial optimization	56
Differential evolution with bi-strategy co-deployment framework and diversity improvement	55
A dual-population-based evolutionary algorithm for multi-objective optimization problems with irregular Pareto fronts	53
A multi-stage knowledge-guided evolutionary algorithm for large-scale sparse multi-objective optimization problems	53
DANCE: Distributed co-evolutionary design of velocity controllers for swarm intelligence robots in flocking and entrapping tasks	53
Optimizing parameters in swarm intelligence using reinforcement learning: An application of Proximal Policy Optimization to the iSOMA algorithm	52
QACO: An adaptive multi-phase ant colony optimization approach for robust feature selection	52
Induction of decision trees as classification models through metaheuristics	51
A hybrid estimation of distribution algorithm for agile earth observing satellite task scheduling problem	51
Surrogate-assisted differential evolution: A survey	51
A many-objective evolutionary algorithm based on constraints for collaborative computation offloading	51
Optimizing multi-period multi-mode multi-time window home health care scheduling with an improved tabu search algorithm	50
Swarm intelligence applications for emergency evacuation planning: state of the art, recent developments, and future research opportunities	50