OOIR: Observatory of International Research

Papers

(The H4-Index of Swarm and Evolutionary Computation is 43. 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 2021-04-01 to 2025-04-01.)

Article	Citations
Energy-efficient task scheduling with binary random faults in cloud computing environments	308
Multi-UAV reconnaissance mission planning via deep reinforcement learning with simulated annealing	242
Strengthened grey wolf optimization algorithms for numerical optimization tasks and AutoML	238
Enhancing Quality-Diversity algorithm by reinforcement learning for Flexible Job Shop Scheduling with transportation constraints	169
Constrained multi-objective particle swarm optimization for bistatic RFID network planning with distributed antennas	158
Collaborative gas source localization strategy with networked nano-drones in unknown cluttered environments	132
An ACO-based Hyper-heuristic for Sequencing Many-objective Evolutionary Algorithms that Consider Different Ways to Incorporate the DM's Preferences	125
Landscape features in single-objective continuous optimization: Have we hit a wall in algorithm selection generalization?	120
EABC-AS: Elite-driven artificial bee colony algorithm with adaptive population scaling	118
Multimodal multiobjective differential evolution algorithm based on enhanced decision space search	114
An improved iterative greedy athm for energy-efficient distributed assembly no-wait flow-shop scheduling problem	110
A similarity-detection-based evolutionary algorithm for large-scale multimodal multi-objective optimization	98
Thermal parameter identification of concrete dams based on hybrid particle swarm optimization using distributed optical fiber monitoring data	98
A Q-learning based artificial bee colony algorithm for solving surgery scheduling problems with setup time	96
Fractional-Order Ant Colony Algorithm: A Fractional Long Term Memory Based Cooperative Learning Approach	91
Combining a hybrid prediction strategy and a mutation strategy for dynamic multiobjective optimization	89
Ensemble of selection operators for decomposition-based multi-objective evolutionary optimization	86
Elite archives-driven particle swarm optimization for large scale numerical optimization and its engineering applications	85
Triple competitive differential evolution for global numerical optimization	84
Choice of benchmark optimization problems does matter	82
UniBFS: A novel uniform-solution-driven binary feature selection algorithm for high-dimensional data	80
Meta-heuristic Techniques in Microgrid Management: A Survey	76
A correlation-guided cooperative coevolutionary method for feature selection via interaction learning-based space division	69
Enhanced auxiliary population search for diversity improvement of constrained multiobjective coevolutionary optimization	67
A large-scale continuous optimization benchmark suite with versatile coupled heterogeneous modules	65

Surrogate-assisted population based ACO for resource constrained job scheduling with uncertainty	64
A self‐organizing weighted optimization based framework for large‐scale multi‐objective optimization	61
A classification-assisted environmental selection strategy for multiobjective optimization	61
Editorial Board	57
Symbiotic Operation Forest (SOF): A novel approach to supervised machine learning	52
Editorial Board	50
Editorial Board	50
Editorial Board	47
Grammar-based cooperative learning for evolving collective behaviours in multi-agent systems	47
Editorial Board	47
Editorial Board	45
An improved problem transformation algorithm for large-scale multi-objective optimization	45
Editorial Board	45
A knowledge-driven memetic algorithm for the energy-efficient distributed homogeneous flow shop scheduling problem	45
A problem knowledge driven bi-population cooperative framework for time-varying ratio error estimation of voltage transformers	44
Search-based detection of code changes introducing performance regression	44
Editorial Board	44
Metaheuristics for variable-size mixed optimization problems: A unified taxonomy and survey	43
A surrogate-assisted evolutionary algorithm with dual restricted Boltzmann machines and reinforcement learning-based adaptive strategy selection	43