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 modified adaptive switching-based many-objective evolutionary algorithm for distributed heterogeneous flowshop scheduling with lot-streaming	78
A balance-oriented iterative greedy algorithm for the distributed heterogeneous hybrid flow-shop scheduling problem with blocking constraints	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
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
Large language models as surrogate models in evolutionary algorithms: A preliminary study	64
Secure key based cloud security utilizing three-way protection with martino homomorphic encryption for preventing unauthorized data access	63
A Q-learning based artificial bee colony algorithm for solving surgery scheduling problems with setup time	61
Two-stage knowledge-driven evolutionary algorithm for distributed green flexible job shop scheduling with type-2 fuzzy processing time	61
Population-level center-based sampling for meta-heuristic algorithms	59
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
A Generational Difference Vector based Tri-Entropy Structure Optimizer for large-scale multiobjective optimization	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
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
Induction of decision trees as classification models through metaheuristics	51
Swarm intelligence applications for emergency evacuation planning: state of the art, recent developments, and future research opportunities	50
Optimizing multi-period multi-mode multi-time window home health care scheduling with an improved tabu search algorithm	50