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 2020-11-01 to 2024-11-01.)

Article	Citations
Major Advances in Particle Swarm Optimization: Theory, Analysis, and Application	263
Population size in Particle Swarm Optimization	205
Task Scheduling in Cloud Computing based on Meta-heuristics: Review, Taxonomy, Open Challenges, and Future Trends	201
A particle swarm optimization algorithm for mixed-variable optimization problems	201
A Tutorial On the design, experimentation and application of metaheuristic algorithms to real-World optimization problems	193
Coverage path planning of heterogeneous unmanned aerial vehicles based on ant colony system	137
A Benchmark-Suite of real-World constrained multi-objective optimization problems and some baseline results	115
A memetic algorithm based on two_Arch2 for multi-depot heterogeneous-vehicle capacitated arc routing problem	113
GAPSO-H: A hybrid approach towards optimizing the cluster based routing in wireless sensor network	111
Differential evolution using improved crowding distance for multimodal multiobjective optimization	109
Swarm Intelligence and cyber-physical systems: Concepts, challenges and future trends	102
An effective iterated greedy method for the distributed permutation flowshop scheduling problem with sequence-dependent setup times	101
Hybrid MPSO-CNN: Multi-level Particle Swarm optimized hyperparameters of Convolutional Neural Network	99
A prescription of methodological guidelines for comparing bio-inspired optimization algorithms	98
Multi-objective particle swarm optimization with adaptive strategies for feature selection	92
A clustering-based differential evolution algorithm for solving multimodal multi-objective optimization problems	91
A distributed heterogeneous permutation flowshop scheduling problem with lot-streaming and carryover sequence-dependent setup time	86
Energy-efficient distributed heterogeneous welding flow shop scheduling problem using a modified MOEA/D	80
Grid search based multi-population particle swarm optimization algorithm for multimodal multi-objective optimization	79
A novel stochastic fractal search algorithm with fitness-Distance balance for global numerical optimization	77
Performance assessment and exhaustive listing of 500+ nature-inspired metaheuristic algorithms	76
A study of ant-based pheromone spaces for generation constructive hyper-heuristics	75
SF-FWA: A Self-Adaptive Fast Fireworks Algorithm for effective large-scale optimization	74
A hybrid estimation of distribution algorithm for distributed flexible job shop scheduling with crane transportations	72
Novel MILP and CP models for distributed hybrid flowshop scheduling problem with sequence-dependent setup times	70

Ant-TD: Ant colony optimization plus temporal difference reinforcement learning for multi-label feature selection	70
A Diffused Memetic Optimizer for reactive berth allocation and scheduling at marine container terminals in response to disruptions	69
An improved iterated greedy algorithm for the energy-efficient blocking hybrid flow shop scheduling problem	69
A novel hybrid grey wolf optimizer with min-conflict algorithm for power scheduling problem in a smart home	68
An augmented Tabu search algorithm for the green inventory-routing problem with time windows	67
Evolutionary many-Objective algorithm based on fractional dominance relation and improved objective space decomposition strategy	66
Differential evolution algorithm with fitness and diversity ranking-based mutation operator	65
Solving energy-efficient distributed job shop scheduling via multi-objective evolutionary algorithm with decomposition	64
Purpose-directed two-phase multiobjective differential evolution for constrained multiobjective optimization	62
Sustainable scheduling of distributed permutation flow-shop with non-identical factory using a knowledge-based multi-objective memetic optimization algorithm	61
A genetic programming hyper-heuristic for the distributed assembly permutation flow-shop scheduling problem with sequence dependent setup times	59
An adaptive particle swarm optimizer with decoupled exploration and exploitation for large scale optimization	58
A decomposition-based many-objective evolutionary algorithm updating weights when required	55
Novel binary differential evolution algorithm based on Taper-shaped transfer functions for binary optimization problems	55
An evolutionary multi-objective optimization framework of discretization-based feature selection for classification	55
Effective heuristics and metaheuristics for the distributed fuzzy blocking flow-shop scheduling problem	54
A Cluster-Based Competitive Particle Swarm Optimizer with a Sparse Truncation Operator for Multi-Objective Optimization	52
Adaptive simulated binary crossover for rotated multi-objective optimization	52
A two-stage solution method based on NSGA-II for Green Multi-Objective integrated process planning and scheduling in a battery packaging machinery workshop	51
A matrix-cube-based estimation of distribution algorithm for the distributed assembly permutation flow-shop scheduling problem	51
Two-stage knowledge-driven evolutionary algorithm for distributed green flexible job shop scheduling with type-2 fuzzy processing time	51
An improved simulated annealing algorithm with crossover operator for capacitated vehicle routing problem	50
A tri-population based co-evolutionary framework for constrained multi-objective optimization problems	49