Abstract
Optimization methods based on meta-heuristics are proposed as a class of global optimization methods, by which the global minimum can be obtained without trapping in local minima. Particle swarm optimization(PSO), which is one of those methods, is known for its high search ability and easy implement. However, it might be difficult to find the global optimum for optimization problems which have a lot of decision variables and local optima. In this paper, we propose three types of new PSO to clear the weak point. One is a model with the nonlinear dissipative term intoroduced by Fujita, Yasuda and Yokoyama (4) to prohibit the search point's velocity being zero. The others are models with the nonlinear dissipative term with the pbest or the gbest information to disturb the search around them.
| Original language | English |
|---|---|
| Journal | IEEJ Transactions on Electronics, Information and Systems |
| Volume | 127 |
| Issue number | 5 |
| Publication status | Published - 2007 |
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Keywords
- Disspative dynamical system
- Global optimization
- Particle swarm optimization
ASJC Scopus subject areas
- Electrical and Electronic Engineering
Cite this
Proposal of particle swarm optimization methods with nonlinear dissipative term. / Murata, Hideki; Yasuda, Keiichiro; Aiyoshi, Eitaro.
In: IEEJ Transactions on Electronics, Information and Systems, Vol. 127, No. 5, 2007.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Proposal of particle swarm optimization methods with nonlinear dissipative term
AU - Murata, Hideki
AU - Yasuda, Keiichiro
AU - Aiyoshi, Eitaro
PY - 2007
Y1 - 2007
N2 - Optimization methods based on meta-heuristics are proposed as a class of global optimization methods, by which the global minimum can be obtained without trapping in local minima. Particle swarm optimization(PSO), which is one of those methods, is known for its high search ability and easy implement. However, it might be difficult to find the global optimum for optimization problems which have a lot of decision variables and local optima. In this paper, we propose three types of new PSO to clear the weak point. One is a model with the nonlinear dissipative term intoroduced by Fujita, Yasuda and Yokoyama (4) to prohibit the search point's velocity being zero. The others are models with the nonlinear dissipative term with the pbest or the gbest information to disturb the search around them.
AB - Optimization methods based on meta-heuristics are proposed as a class of global optimization methods, by which the global minimum can be obtained without trapping in local minima. Particle swarm optimization(PSO), which is one of those methods, is known for its high search ability and easy implement. However, it might be difficult to find the global optimum for optimization problems which have a lot of decision variables and local optima. In this paper, we propose three types of new PSO to clear the weak point. One is a model with the nonlinear dissipative term intoroduced by Fujita, Yasuda and Yokoyama (4) to prohibit the search point's velocity being zero. The others are models with the nonlinear dissipative term with the pbest or the gbest information to disturb the search around them.
KW - Disspative dynamical system
KW - Global optimization
KW - Particle swarm optimization
UR - http://www.scopus.com/inward/record.url?scp=34249744470&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=34249744470&partnerID=8YFLogxK
M3 - Article
AN - SCOPUS:34249744470
VL - 127
JO - IEEJ Transactions on Electronics, Information and Systems
JF - IEEJ Transactions on Electronics, Information and Systems
SN - 0385-4221
IS - 5
ER -