Stochastic set-based particle swarm optimization based on local exploration for solving the carpool service problem

SK Chou, MK Jiau, SC Huang - IEEE transactions on …, 2016 - ieeexplore.ieee.org
The growing ubiquity of vehicles has led to increased concerns about environmental issues.
These concerns can be mitigated by implementing an effective carpool service. In an …

Hybrid learning particle swarm optimizer with genetic disturbance

Y Liu, B Niu, Y Luo - Neurocomputing, 2015 - Elsevier
Particle swarm optimizer (PSO) is a population-based stochastic optimization technique
which has already been successfully applied to the engineering and other scientific fields …

Multi-objective optimization of the level of prefabrication in construction projects

LG de Moura Jorge, AWA Hammad… - Proceedings of the …, 2024 - icevirtuallibrary.com
Off-site manufacturing (OSM) in construction projects is associated with significant
advantages including increased construction quality, productivity and efficiency. Even …

Grammatical swarm based-adaptable velocity update equations in particle swarm optimizer

T Si, A De, AK Bhattacharjee - … of the International Conference on Frontiers …, 2014 - Springer
In this work, a new method for creating diversity in Particle Swarm Optimization is devised.
The key feature of this method is to derive velocity update equation for each particle in …

[PDF][PDF] Grammatical differential evolution adaptable particle swarm optimization algorithm

T Si - … Journal of Electronics Communications and Computer …, 2012 - ijecce.org
Particle Swarm Optimization (PSO) algorithm is population based global optimization
algorithm having stochastic nature. PSO has faster convergence but it often gets stuck in …

An overview of mutation strategies in particle swarm optimization

WH Bangyal, J Ahmad, HT Rauf - International Journal of Applied …, 2020 - igi-global.com
The Particle swarm optimization (PSO) algorithm is a population-based intelligent stochastic
search technique encouraged from the intrinsic manner of bee swarm seeking for their food …

Particle Swarm Optimization with Lévy Flight and Adaptive Polynomial Mutation in gbest Particle

ND Jana, J Sil - … Advances in Intelligent Informatics: Proceedings of the …, 2014 - Springer
In this paper, particle swarm optimization (PSO) with levy flight is proposed. PSO is a
population based global optimization algorithm has faster convergence but often gets stuck …

AN ASSESSMENT OF OPTIMAL OPERATION POLICIES FOR A RESERVOIR USING PARTICLE SWARM OPTIMIZATION

M TRIVEDI, TMV SURYANARAYANA - … Journal P-ISSN 1112-3680/E …, 2023 - larhyss.net
Reservoirs play a major role in managing the available water resources. The scarcity of
water has become a serious problem worldwide; therefore, reservoirs must be created …

[PDF][PDF] An Open Flow Controller Based on the Intercerebral Neural Network for Media Independent Handover

Q Wu, JS Huang, O Yang - Int J of Swarm Intel Evol Comput, 2014 - researchgate.net
This paper presents a novel open flow controller based on the intercerebral neural network
for the media independent handover over wireless operation. This controller makes a binary …

AN ASSESSMENT OF OPTIMAL OPERATION POLICIES FOR A RESERVOIR USING PARTICLE SWARM OPTIMIZATION.

S TMV - Larhyss Journal, 2023 - search.ebscohost.com
Reservoirs play a major role in managing the available water resources. The scarcity of
water has become a serious problem worldwide; therefore, reservoirs must be created …