In the optimization process, approach to optimal value in particle swarm optimization algorithm (PSO) and mutation, hybridization, selection operation in differential evolution algorithm (DE) are ...

Particle swarm optimization (PSO) algorithm is an optimization technique with remarkable performance for problem solving. The convergence analysis of the method is still in research.

Particle Swarm Optimization (PSO): An optimisation algorithm inspired by social behaviours in nature, where a population of candidate solutions (particles) iteratively move through the search ...

Moreover, the use of simplified energy models often leads to inaccurate shaping decisions. To cope with these drawbacks, this paper proposes a multi-objective optimization approach for UAV swarm ...

BERT Hyperparameter Optimization Comparison A comprehensive comparison of different hyperparameter optimization methods for BERT fine-tuning on sentiment analysis tasks. This project implements and ...

Therefore, this article proposes a multi-strategy improved particle swarm optimization algorithm called MSIPSO. Firstly, the algorithm incorporates a local deadlock jump strategy to increase the ...

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-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.

In this paper, the Particle Swarm Optimization (PSO) algorithm is used to solve the two-way flow of quayside vessel and Counter truck SCS problem. To solve this problem, A linear integer programming ...