Results 11 to 20 of about 165,169 (251)
Hovering Swarm Particle Swarm Optimization [PDF]
IEEE Access, 2021 PSO is a simple and yet powerful metaheuristic search algorithm widely used to solve various optimization problems. Nevertheless, conventional PSO tends to lose its population diversity drastically and suffer with compromised performance when ...
Aasam Abdul Karim +2 more
doaj +2 more sources
Adaptive Particle Swarm Optimization [PDF]
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 2009 An adaptive particle swarm optimization (APSO) that features better search efficiency than classical particle swarm optimization (PSO) is presented. More importantly, it can perform a global search over the entire search space with faster convergence speed. The APSO consists of two main steps.
Zhan, Z-H. +3 more
openaire +6 more sources
Genetic Learning Particle Swarm Optimization [PDF]
IEEE Transactions on Cybernetics, 2016 Social learning in particle swarm optimization (PSO) helps collective efficiency, whereas individual reproduction in genetic algorithm (GA) facilitates global effectiveness. This observation recently leads to hybridizing PSO with GA for performance enhancement. However, existing work uses a mechanistic parallel superposition and research has shown that
Gong, Yue-Jiao +6 more
openaire +7 more sources
Logistics Transportation Time Optimization Based on Fuzzy Particle Swarm Optimization [PDF]
MATEC Web of Conferences, 2022 The fuzzy particle swarm optimization (FPSO-RRB- algorithm is used to solve the logistics transportation time optimization problem, a three-dimensional particle coding method based on receiving point, particle position sequence and particle position ...
Zhang Bingqing
doaj +1 more source
, 2023 The procedure is to obtain the best solution for the certain parameters in the given network to satisfy every requirement for design by considering the smallest affordable cost will be considered as an optimization. Optimization traditional approach will have some constraints like, outcome of single-based, local optima convergence, problems in unknown ...
Leonardo Vanneschi, Sara Silva
+8 more sources
A Path Planning Method for AGV Based on Improved PSO-PIO Algorithm
Journal of Harbin University of Science and Technology, 2022 In order to solve the problem of particle swarm optimization algorithm easily falling into local optimum in global path planning, according to the related theories of particle swarm optimization algorithm and pigeon-inspired optimization algorithm, the ...
QIN Chang-li +4 more
doaj +1 more source
Fast multi-swarm optimization for dynamic optimization problems [PDF]
, 2008 This article is posted here with permission of IEEE - Copyright @ 2008 IEEEIn the real world, many applications are non-stationary optimization problems. This requires that the optimization algorithms need to not only find the global optimal solution but
Li, C, Yang, S
core +6 more sources
A Particle Swarm Optimization Backtracking Technique Inspired by Science-Fiction Time Travel
AI, 2022 Artificial intelligence techniques, such as particle swarm optimization, are used to solve problems throughout society. Optimization, in particular, seeks to identify the best possible decision within a search space.
Bob Fedor, Jeremy Straub
doaj +1 more source
Energies, 2022 The optimization of injection–production parameters is an important step in the design of gas injection development schemes, but there are many influencing factors and they are difficult to determine. To solve this problem, this paper optimizes injection-
Yukun Dong +3 more
doaj +1 more source
Overview of multiobjective particle swarm optimization algorithm
工程科学学报, 2021 In the real world, the development model of optimization problems tends to be diversified and large scale. Therefore, optimization technologies are facing severe challenges in terms of nonlinearity, multi-dimensionality, intelligence, and dynamic ...
Qian FENG +3 more
doaj +1 more source