Particle Swarm Optimisation (PSO)
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 ...using Particle Swarm ...
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Particle Swarm Optimisation for Feature Selection in Classification
... algorithms. Particle swarm optimisation (PSO) is an EC technique that is computationally less expensive and can converge faster than other ...
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Particle Swarm Optimisation with Improved Learning Strategy
... Keywords: Particle swarm optimisation, improved learning strategy, global optimisation, metaheuristic search, swarm intelligence ...called particle swarm ...
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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 ...of particle swarm population initialisation, ...
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Multi-objective particle swarm optimisation: methods and applications.
... life optimisation problems is a challenging engineering ven- ...on optimisation it was realised that many problems do not simply have one optimisation ...the optimisation problem from ...
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Particle Swarm Optimisation for Edge Detection in Noisy Images
... 5.6 Summary In this chapter, a novel local thresholding technique was proposed for a particle swarm optimisation (PSO)-based algorithm to detect edges with greater continuity. The new technique was ...
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Cryptanalysis of Simplified-AES using Particle Swarm Optimisation
... * E-mail: [email protected] AbStrACt Particle swarm optimisation (PSO) based cryptanalysis has gained much attention due to its fast convergence rate. This paper proposes a PSO-based cryptanalysis ...
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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 ...
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Deep learning-driven particle swarm optimisation for additive manufacturing energy optimisation
... learning-driven particle swarm optimisation (DLD-PSO) method is proposed to optimise the energy ...Meanwhile, optimisation has also been carried out to guide part designers and process ...
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Digital IIR filter design using particle swarm optimisation
... The particle swarm optimisation (PSO) is a population-based stochastic optimisation technique (Kennedy and Eberhart, 1995, 2001) inspired by social behaviour of bird flocking or fish ...a ...
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Unit Commitment Solution Using Particle Swarm Optimisation (PSO)
... So it is replaced by a new method known as Particle Swarm Optimisation (PSO) which is a biological method based on particle swarming. It consists of a group of particles moving towards optimal ...
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Particle Swarm Optimisation Applied to Economic Load Dispatch Problem
... 3.2 PARTICLE SWARM OPTIMISATION: PSO simulates the behaviors of bird flocking. Suppose the following scenario: a group of birds are randomly searching food in an area. There is only one piece of food ...
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Unit Commitment Solution Using Particle Swarm Optimisation (PSO)
... Divya Ananthan 1 , Prof.S.Nishanthinivalli 2 1 (P.G Student, Jayaram college of Engineering & Technology, Tiruchirapalli) 2 (Assistant Professor, Department of EEE, Jayaram College of Engineering and Technology, ...
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A Particle Swarm Optimisation for Vehicle Routing Problem with Time Windows
... 2.2 Particle Swarm Optimisation PSO is a population-based search method proposed by Kennedy and Eberhart ...bee swarm, fish school, and bird ...the swarm as well as its cognitive and ...
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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 ...
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On the Effect of Selection and Archiving Operators in Many-Objective Particle Swarm Optimisation
... The particle swarm optimisation (PSO) heuristic has been used for a number of years now to perform multi-objective optimisation, however its performance on many-objective op- timisation ...
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Optimal Control of Power Quality in Microgrids Using Particle Swarm Optimisation
... TECHNIQUE: PARTICLE SWARM OPTIMISATION ALGORITHM The modern heuristic techniques mainly include the application of the Artificial Intelligence (AI) approaches such as Genetic Algorithm (GA), ...
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Free Search and Particle Swarm Optimisation applied to Non-constrained Test
... of Particle Swarm Optimisation (PSO) with variable inertia weight and Free Search (FS) with variable neighbour space applied to non- constrained numerical ...
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Train service timetabling in railway open markets by particle swarm optimisation
... multi-objective optimisation problem, in which a feasible solution, rather than the optimal one, is usually taken in practice because of the time ...a particle swarm optimisation (PSO) ...
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Train service timetabling in railway open markets by particle swarm optimisation
... multi-objective optimisation problem, in which a feasible solution, rather than the optimal one, is usually taken in practice because of the time ...a particle swarm optimisation (PSO) ...
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