OOIR: Observatory of International Research

Papers

(The H4-Index of Swarm and Evolutionary Computation is 47. 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 2020-04-01 to 2024-04-01.)

Article	Citations
Recent trends in the use of statistical tests for comparing swarm and evolutionary computing algorithms: Practical guidelines and a critical review	324
A test-suite of non-convex constrained optimization problems from the real-world and some baseline results	230
A survey on swarm intelligence approaches to feature selection in data mining	230
Major Advances in Particle Swarm Optimization: Theory, Analysis, and Application	218
A particle swarm optimization algorithm for mixed-variable optimization problems	180
Population size in Particle Swarm Optimization	178
A better balance in metaheuristic algorithms: Does it exist?	171
Task Scheduling in Cloud Computing based on Meta-heuristics: Review, Taxonomy, Open Challenges, and Future Trends	168
A Tutorial On the design, experimentation and application of metaheuristic algorithms to real-World optimization problems	157
An improved genetic algorithm for the flexible job shop scheduling problem with multiple time constraints	108
Coverage path planning of heterogeneous unmanned aerial vehicles based on ant colony system	106
Quantum-enhanced multiobjective large-scale optimization via parallelism	98
A memetic algorithm based on two_Arch2 for multi-depot heterogeneous-vehicle capacitated arc routing problem	96
An effective iterated greedy method for the distributed permutation flowshop scheduling problem with sequence-dependent setup times	94
A Benchmark-Suite of real-World constrained multi-objective optimization problems and some baseline results	90
GAPSO-H: A hybrid approach towards optimizing the cluster based routing in wireless sensor network	90
Swarm Intelligence and cyber-physical systems: Concepts, challenges and future trends	89
Differential evolution using improved crowding distance for multimodal multiobjective optimization	89
A survey on meta-heuristics for solving disassembly line balancing, planning and scheduling problems in remanufacturing	80
Hybrid MPSO-CNN: Multi-level Particle Swarm optimized hyperparameters of Convolutional Neural Network	78
Energy-efficient distributed permutation flow shop scheduling problem using a multi-objective whale swarm algorithm	77
A prescription of methodological guidelines for comparing bio-inspired optimization algorithms	76
A distributed heterogeneous permutation flowshop scheduling problem with lot-streaming and carryover sequence-dependent setup time	75
Multi-objective particle swarm optimization with adaptive strategies for feature selection	74
A clustering-based differential evolution algorithm for solving multimodal multi-objective optimization problems	73

Multiple adaptive strategies based particle swarm optimization algorithm	70
A novel stochastic fractal search algorithm with fitness-Distance balance for global numerical optimization	65
Energy-efficient distributed heterogeneous welding flow shop scheduling problem using a modified MOEA/D	65
Grid search based multi-population particle swarm optimization algorithm for multimodal multi-objective optimization	64
A novel hybrid grey wolf optimizer with min-conflict algorithm for power scheduling problem in a smart home	64
An augmented Tabu search algorithm for the green inventory-routing problem with time windows	62
An Improved Ant Colony Optimization algorithm to the Periodic Vehicle Routing Problem with Time Window and Service Choice	61
Solving energy-efficient distributed job shop scheduling via multi-objective evolutionary algorithm with decomposition	58
Gene selection for cancer types classification using novel hybrid metaheuristics approach	55
Ant-TD: Ant colony optimization plus temporal difference reinforcement learning for multi-label feature selection	55
Differential evolution algorithm with fitness and diversity ranking-based mutation operator	55
Evolutionary many-Objective algorithm based on fractional dominance relation and improved objective space decomposition strategy	55
A hybrid estimation of distribution algorithm for distributed flexible job shop scheduling with crane transportations	54
An adaptive particle swarm optimizer with decoupled exploration and exploitation for large scale optimization	54
Novel MILP and CP models for distributed hybrid flowshop scheduling problem with sequence-dependent setup times	54
An improved iterated greedy algorithm for the energy-efficient blocking hybrid flow shop scheduling problem	54
Sustainable scheduling of distributed permutation flow-shop with non-identical factory using a knowledge-based multi-objective memetic optimization algorithm	53
Surrogate-assisted grey wolf optimization for high-dimensional, computationally expensive black-box problems	52
A random dynamic grouping based weight optimization framework for large-scale multi-objective optimization problems	50
A genetic programming hyper-heuristic for the distributed assembly permutation flow-shop scheduling problem with sequence dependent setup times	50
Purpose-directed two-phase multiobjective differential evolution for constrained multiobjective optimization	49
A two-stage solution method based on NSGA-II for Green Multi-Objective integrated process planning and scheduling in a battery packaging machinery workshop	47
Effective heuristics and metaheuristics for the distributed fuzzy blocking flow-shop scheduling problem	47