Advances in Particle Swarm Algorithms in Asynchronous, Discrete and Multi-Objective Optimization
This lecture presents the latest advancement of Particle Swarm Optimization (PSO) in asynchronous update, discrete, and multi-objective problems. PSO is a population based stochastic optimization algorithm, inspired by the social behavior of bird flocking and fish schooling. PSO has been introduce...
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| Format: | Conference or Workshop Item |
| Language: | English |
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2014
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| Online Access: | http://umpir.ump.edu.my/id/eprint/8296/1/Advances_in_Particle_Swarm_Algorithms_in_Asynchronous%2C_Discrete_and_MultiObjective_Optimization.pdf |
| _version_ | 1825822080073990144 |
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| author | Zuwairie, Ibrahim |
| author_facet | Zuwairie, Ibrahim |
| author_sort | Zuwairie, Ibrahim |
| collection | UMP |
| description | This lecture presents the latest advancement of Particle Swarm Optimization (PSO) in asynchronous update,
discrete, and multi-objective problems. PSO is a population based stochastic optimization algorithm, inspired
by the social behavior of bird flocking and fish schooling. PSO has been introduced by Kennedy and
Eberhart and contains a group of particles that move in a search space searching for an optimum solution
according to a particular objective function. The movement of a particle is subjected to its own best found
solution, pBest, and the best found solution in the neighborhood, gBest.
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| first_indexed | 2024-03-06T11:51:13Z |
| format | Conference or Workshop Item |
| id | UMPir8296 |
| institution | Universiti Malaysia Pahang |
| language | English |
| last_indexed | 2024-03-06T11:51:13Z |
| publishDate | 2014 |
| record_format | dspace |
| spelling | UMPir82962018-02-08T03:31:58Z http://umpir.ump.edu.my/id/eprint/8296/ Advances in Particle Swarm Algorithms in Asynchronous, Discrete and Multi-Objective Optimization Zuwairie, Ibrahim TK Electrical engineering. Electronics Nuclear engineering This lecture presents the latest advancement of Particle Swarm Optimization (PSO) in asynchronous update, discrete, and multi-objective problems. PSO is a population based stochastic optimization algorithm, inspired by the social behavior of bird flocking and fish schooling. PSO has been introduced by Kennedy and Eberhart and contains a group of particles that move in a search space searching for an optimum solution according to a particular objective function. The movement of a particle is subjected to its own best found solution, pBest, and the best found solution in the neighborhood, gBest. 2014 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/8296/1/Advances_in_Particle_Swarm_Algorithms_in_Asynchronous%2C_Discrete_and_MultiObjective_Optimization.pdf Zuwairie, Ibrahim (2014) Advances in Particle Swarm Algorithms in Asynchronous, Discrete and Multi-Objective Optimization. In: Fifth International Conference on Intelligent Systems, Modelling and Simulation (ISMS 2014) , 27-29 January 2014 , Sheraton Langkawi Beach Resort Teluk Nibong Langkawi, Kedah. pp. 5-6.. (Published) http://ijssst.info/Vol-15/No-3/data/3857a005.pdf |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Zuwairie, Ibrahim Advances in Particle Swarm Algorithms in Asynchronous, Discrete and Multi-Objective Optimization |
| title | Advances in Particle Swarm Algorithms in Asynchronous, Discrete and Multi-Objective Optimization |
| title_full | Advances in Particle Swarm Algorithms in Asynchronous, Discrete and Multi-Objective Optimization |
| title_fullStr | Advances in Particle Swarm Algorithms in Asynchronous, Discrete and Multi-Objective Optimization |
| title_full_unstemmed | Advances in Particle Swarm Algorithms in Asynchronous, Discrete and Multi-Objective Optimization |
| title_short | Advances in Particle Swarm Algorithms in Asynchronous, Discrete and Multi-Objective Optimization |
| title_sort | advances in particle swarm algorithms in asynchronous discrete and multi objective optimization |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://umpir.ump.edu.my/id/eprint/8296/1/Advances_in_Particle_Swarm_Algorithms_in_Asynchronous%2C_Discrete_and_MultiObjective_Optimization.pdf |
| work_keys_str_mv | AT zuwairieibrahim advancesinparticleswarmalgorithmsinasynchronousdiscreteandmultiobjectiveoptimization |