OOIR: Observatory of International Research

Papers

(The H4-Index of Swarm and Evolutionary Computation is 48. 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 2021-11-01 to 2025-11-01.)

Article	Citations
Quantum circuit mapping based on discrete particle swarm optimization and deep reinforcement learning	220
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	213
An adaptive reference vector guided many-objective optimization algorithm based on the pareto front density estimation	148
Random projection enhancement: A Novel method for improving performance of surrogate models	136
A Q-learning based artificial bee colony algorithm for solving surgery scheduling problems with setup time	116
An optimized watermarking scheme based on genetic algorithm and elliptic curve	113
A surrogate-assisted evolutionary algorithm with dual restricted Boltzmann machines and reinforcement learning-based adaptive strategy selection	109
Neighborhood-based particle swarm optimization with discrete crossover for nonlinear equation systems	108
A modified adaptive switching-based many-objective evolutionary algorithm for distributed heterogeneous flowshop scheduling with lot-streaming	99
Efficient search of decision makers’ region of interest by using preference directions in multi-objective coevolutionary algorithm	94
Combining single objective dispatching rules into multi-objective ensembles for the dynamic unrelated machines environment	94
Redefined decision variable analysis method for large-scale optimization and its application to feature selection	91
Fractional-Order Ant Colony Algorithm: A Fractional Long Term Memory Based Cooperative Learning Approach	91
Two-stage knowledge-driven evolutionary algorithm for distributed green flexible job shop scheduling with type-2 fuzzy processing time	90
Editorial Board	89
Choice of benchmark optimization problems does matter	78
On the impact of linkage learning, gene-pool optimal mixing, and non-redundant encoding on permutation optimization	73
Memory backtracking strategy: An evolutionary updating mechanism for meta-heuristic algorithms	71
An improved shuffled frog leaping algorithm based on support vector machine for hybrid flow shop rescheduling with disturbance prediction	70
Secure key based cloud security utilizing three-way protection with martino homomorphic encryption for preventing unauthorized data access	69
A multi-objective evolutionary algorithm for feature selection incorporating dominance-based initialization and duplication analysis	68
A dueling double deep Q network assisted cooperative dual-population coevolutionary algorithm for multi-objective combined economic and emission dispatch problems	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	65
A balance-oriented iterative greedy algorithm for the distributed heterogeneous hybrid flow-shop scheduling problem with blocking constraints	64

A novel particle swarm optimization algorithm with Lévy flight and orthogonal learning	62
Large language models as surrogate models in evolutionary algorithms: A preliminary study	62
Differential evolution with evolutionary scale adaptation	61
Multi-operator opposition-based learning with the neighborhood structure for numerical optimization problems and its applications	61
A Nonlinear Dimensionality Reduction Search Improved Differential Evolution for large-scale optimization	60
Population-level center-based sampling for meta-heuristic algorithms	60
Exploring high-dimensional optimization by sparse and low-rank evolution strategy	57
A manifold prediction strategy for evolutionary dynamic multiobjective optimization	56
A Generational Difference Vector based Tri-Entropy Structure Optimizer for large-scale multiobjective optimization	55
A bi-objective routing problem for cooperated trucks and drones in river water quality monitoring	55
Dynamic multi-objective optimization algorithm based on incremental Gaussian mixture model	54
Formulating approximation error as noise in surrogate-assisted multi-objective evolutionary algorithm	53
On the representativeness metric of benchmark problems in numerical optimization	52
Reinforced steering Evolutionary Markov Chain for high-dimensional feature selection	51
Industrial activated sludge model identification using hyperparameter-tuned metaheuristics	51
Auxiliary optimization framework based on scaling transformation matrix for large-scale multi-objective problem	50
Pareto multi-objective optimization for high locality-preserving space-filling curve identification	50
A hybrid estimation of distribution algorithm for agile earth observing satellite task scheduling problem	50
KDDCP: Kernel density driven cumulative probability-cooperated framework for constrained muti-objective optimization	49
Welcome from Editor-in-Chief of Swarm and Evolutionary Computation	48
Decomposition-based dual-population evolutionary algorithm for constrained multi-objective problem	48
Benchmarking footprints of continuous black-box optimization algorithms: Explainable insights into algorithm success and failure	48
A decimal artificial bee colony with elite strategy for the cutting stock problem with irregular items	48