Đồ án so sánh và phân tích các thuật toán Swarm Intelligence (Trí tuệ bầy đàn) với các thuật toán tối ưu truyền thống trên các bài toán tối ưu hóa liên tục và rời rạc. Algorithm Visualization: Phân ...

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 ...

This post was sponsored by Peec AI. The opinions expressed in this article are the sponsor’s own. The first step of any good GEO campaign is creating something that LLM-driven answer machines actually ...

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 ...