Particle Swarm Optimisation Algorithm (PSOA)
Nature-inspired optimisation: Improvements to the Particle Swarm Optimisation Algorithm and the Bees Algorithm
... Computational Swarm Intelligence” and John Wiley & Sons, Ltd; Thomas Weise, the author o f “Global Optimisation Algorithms - Theory and Applications”; Karin Zielinski and Rainer Laur, the authors o f the ...
327
Application of Improved Particle Swarm Optimisation Algorithm in Hull form Optimisation
... The particle swarm optimisation (PSO) algorithm has been widely used in hull form optimisation owing to its feasibility and fast ...PSO algorithm and improve PSO from four ...
20
A memetic particle swarm optimisation algorithm for dynamic multi-modal optimisation problems
... In our experiments, the offline error of MPSO is on the average 0.56, 0.71, 1.61, and 1.58 when the number of peaks increases from 5 to 10, 20, and 50, respectively. This result is easy to understand. When the number of ...
20
A framework for multi-objective optimisation based on a new self-adaptive particle swarm optimisation algorithm
... This paper develops a particle swarm optimisation (PSO) based framework for multi-objective optimisation (MOO). As a part of development, a new PSO method, named self-adaptive PSO (SAPSO), is ...
27
Multi particle swarm optimisation algorithm applied to supervisory power control systems
... 6. Self-organizing fuzzy modal algorithm to model the system via on-line input and output data (Moore & Harris, 1992). In order to increase the efficiency of the fuzzy controllers, and cover some of their ...
179
Multi-Objective Discrete Particle Swarm Optimisation Algorithm for Integrated Assembly Sequence Planning and Assembly Line Balancing
... assembly optimisation, assembly sequence planning and assembly line balancing have been extensively studied because both activities are directly linked with assembly efficiency that influences the final assembly ...
16
Discrete particle swarm optimisation for ontology alignment
... discrete particle swarm optimisation algorithm is designed in order to solve this optimisation problem and compute an alignment of two ...presented algorithm has been implemented ...
38
Unit Commitment Solution Using Particle Swarm Optimisation (PSO)
... ―A Particle Swarm Optimisation Algorithm with Novel Expected Fitness Evaluation for Robust Optimisation ...―Particle Swarm Optimization: Basic Concepts, Variants and ...
9
A Comparative Study of Genetic Algorithm and Particle Swarm optimisation for Dendritic Cell Algorithm
... metaheuristic optimisation algorithms such as simulated annealing, artificial bee colony optimization, ant colony optimisation, to fully investigate the potential of optimisation algorithms for DCA ...
10
Particle Swarm Optimisation for Feature Selection in Classification
... sification algorithm to evaluate the goodness of the features during the feature selection process while filters are independent of any classification ...algorithms. Particle swarm ...
268
Particle Swarm Optimisation with Improved Learning Strategy
... Keywords: Particle swarm optimisation, improved learning strategy, global optimisation, metaheuristic search, swarm intelligence ...(MS) algorithm called particle ...
22
Particle swarm optimisation: an algorithm using support vector classification based constraint approximations.
... the swarm is only affected if their function evaluation reveals that one of the points is an improvement on the best-found solution, so all the particles have their motion directly influenced and not just one ...
101
Fuzzy rule weight modification with particle swarm optimisation
... Finally, note that this work assumes the availabil- ity of an initial rule base, be it created by a simple partitioning scheme as used in the present implementa- tion, given by the human expert, or generated by a cer- ...
15
Fuzzy rule weight modification with particle swarm optimisation
... Finally, note that this work assumes the availabil- ity of an initial rule base, be it created by a simple partitioning scheme as used in the present implementa- tion, given by the human expert, or generated by a cer- ...
15
Multi-objective particle swarm optimisation: methods and applications.
... The thesis provides advances to several areas of research within the field of multi- objective evolutionary optimisation in general and multi-objective particle swarm op- timisation in particular. ...
200
Particle Swarm Optimisation of Spoken Dialogue System Strategies
... PSO algorithm is usually evaluated rela- tively to the number of calls to the fitness function ...the algorithm, the parti- cles are evaluated thanks to a Monte Carlo ...
6
Particle Swarm Optimisation for Edge Detection in Noisy Images
... detection algorithm can be increased by the use of concurrency or parallel programming, its efficiency can be also improved by decreasing the number of times which PSO is applied to an ...proposed ...
231
Particle swarm optimisation for scheduling electric vehicles with microgrids
... A. Particle swarm optimization (PSO) PSO is a heuristic algorithm based on a stochastic optimiza- tion of swarm ...the algorithm should be adjusted and improved according to the actual ...
7
Cryptanalysis of Simplified-AES using Particle Swarm Optimisation
... and low processor capacity 4 . Musa, attacked S-AES for the first time using linear and differential cryptanalysis 5 . Linear and differential cryptanalysis is applied for one round S-AES in this paper. From their ...
5
Path Planning in Swarm Robots using Particle Swarm Optimisation on Potential Fields
... of Particle Swarm Optimisation(PSO)forfinding the most optimal solution to path planning problem for a swarm of ...The swarm canvasses through the configuration space having static ...
8