In the field of multi-objective evolutionary optimization, prior studies have largely concentrated on the scalability of objective functions, with relatively less emphasis on the scalability of ...

1 Henan Polytechnic, Zhengzhou, China 2 School of Railway Transportation, Shanghai Institute of Technology, Shanghai, China This study mainly includes five sections. The first section primarily ...

Abstract: The increasing need for good waste management practices has driven the adoption of circular economy principles to reduce environmental impact and resource depletion. This work presents a ...

Chances are, you’ve seen clicks to your website from organic search results decline since about May 2024—when AI Overviews launched. Large language model optimization (LLMO), a set of tactics for ...

A Genetic Algorithm (GA) / Discrete Particle Swarm Optimization/ Hybrid (GA-PSO) for nuclear fuel optimization using ML surrogates (DNN, KNN, Random Forest, Ridge) and OpenMC. Optimizes fuel loading ...

Researchers have introduced a more efficient approach to designing wind-resistant high-rise buildings by combining particle swarm optimization (PSO) with an enhanced penalty function to dynamically ...

Abstract: Three sub-swarm discrete particle swarm optimization algorithm (THSDPSO) is proposed. The new algorithm assumes that all particles are divided into three sub- swarms. One sub-swarm flies ...