Results 11 to 20 of about 644,997 (352)
Solving Euclidean Steiner Tree Problems with Multi Swarm Optimization [PDF]
A new iterative heuristic algorithm, based on Multi Swarm Optimization, is presented for Steiner Tree Problems (STP) in the 2-dimensional Euclidean plane. The basic algorithm is made practical for large instances by applying a result from graph theory, and a well-informed approximation.
Decroos, Tom +2 more
openaire +4 more sources
Optimal multi-depot location decision using particle swarm optimization [PDF]
The depot locations have a significant effect on the transportation cost in the multi-depot vehicle routing problem. A two-tier particle swarm optimization framework is proposed, in which an external particle swarm optimization and an internal particle ...
Yin-Mou Shen, Ruey-Maw Chen
doaj +2 more sources
Multi-Swarm Algorithm for Extreme Learning Machine Optimization
There are many machine learning approaches available and commonly used today, however, the extreme learning machine is appraised as one of the fastest and, additionally, relatively efficient models. Its main benefit is that it is very fast, which makes it suitable for integration within products that require models taking rapid decisions. Nevertheless,
Nebojsa Bacanin +5 more
openaire +3 more sources
A Multi-Swarm Structure for Particle Swarm Optimization: Solving the Welded Beam Design Problem
Several studies exist in the literature that utilized metaheuristics and nature-inspired algorithms to solve engineering problems. Particle Swarm Optimization (PSO) is a well-known nature-inspired algorithm that has been used for different optimization ...
A. T. Kamil +2 more
semanticscholar +1 more source
An Adaptive Multi-Swarm Optimizer for Dynamic Optimization Problems [PDF]
The multipopulation method has been widely used to solve dynamic optimization problems (DOPs) with the aim of maintaining multiple populations on different peaks to locate and track multiple changing optima simultaneously. However, to make this approach effective for solving DOPs, two challenging issues need to be addressed.
Changhe, Li +2 more
openaire +2 more sources
In order to improve the adaptive management ability of virtual machine placement in cloud computing, an adaptive management and multi-objective optimization method for virtual machine placement in cloud computing is proposed based on particle swarm ...
Shuxiang Li, Xianbing Pan
doaj +1 more source
Multi-objective optimization of a redundantly actuated parallel robot mechanism for special machining [PDF]
In order to improve the accuracy and efficiency of special machining for a complex surface, a 2RPU-2SPR (where R, P, U, and S stand for revolute, prismatic, universal, and spherical joints, respectively) over-constrained redundantly actuated parallel ...
H. Zhang +7 more
doaj +1 more source
Multi-layer optimization algorithm
The optimization of experimental results has repeatedly posed major challenges for scientist and engineers. In this work, a systematic multi-layer optimization scheme is proposed in conjunction with particle swarm optimization algorithm to locate a ...
M Abdalla, J Yamin, E Al-Khawaldeh
doaj +1 more source
Multi-swarm multi-objective optimization based on a hybrid strategy
Multi-objective optimization is a very competitive issue that emerges naturally in most real world problems. It is concerned with the optimization of conflicting objectives in multi-objective problems.
Shery Sedarous +2 more
doaj +1 more source
Multi-robot path planning using an improved self-adaptive particle swarm optimization
Path planning is of great significance in motion planning and cooperative navigation of multiple robots. Nevertheless, because of its high complexity and nondeterministic polynomial time hard nature, efficiently tackling with the issue of multi-robot ...
Biwei Tang +3 more
doaj +1 more source

