Multi-swarm optimization (MSO) is a powerful variation of particle swarm optimization. Understanding how MSO works and how to implement it can be a valuable addition to your developer toolkit.

Novel 'cuckoo search algorithm' beats particle swarm optimization in engineering design Date: May 28, 2010 Source: Inderscience Summary: The familiar early summer call of the cuckoo has inspired ...

Multi-stage feature selection methods have attracted increasing attention due to the ability to integrate the advantages of filtering, clustering, and evolutionary algorithms. However, existing ...

Qi Xiong, Hongbo Zhang, Qiusheng Rong, Path Planning Based on Improved Particle Swarm Optimization for AUVs, Journal of Coastal Research, SPECIAL ISSUE NO. 111. Today’s Modern Coastal Society: ...

In this paper, the high precision and robustness of underwater robot navigation based on strap-down inertial navigation system/ultra short base line (SINS/USBL) is investigated. The Extended Kalman ...

Use of a particle swarm optimization–analytic hierarchy process (PSO - AHP) and a comprehensive fuzzy evaluation of an expert questionnaire shows that these evaluation methods are highly applicable to ...