All Research Papers Published In Swarm and Evolutionary Computation

An improved discrete multi-objective artificial protozoa optimizer for solving multi-objective knapsack problems

A hybrid surrogate-assisted dual-population co-evolutionary algorithm for multi-area integrated scheduling in wafer fabs

Multimodal multi-objective optimization via multi-operator adaptation and clustering-based environmental selection

Enhancing automatically designed relocation rules with the rollout algorithm

Terminal normalization in genetic programming for dynamic flexible job shop scheduling

Metaheuristic-based weight optimization for robust deep reinforcement learning in continuous control

A niching differential evolution with Hilbert curve for multimodal multi-objective optimization

Learning-infused optimization for evolutionary computation

An adaptive large neighborhood search with multi-deletion operators for multi-depot green vehicle routing problem with time windows

Multi-objective evolutionary co-learning framework for energy-efficient hybrid flow-shop scheduling problem with human-machine collaboration