TY - GEN
T1 - Genetic symbiosis algorithm for multiobjective optimization problem
AU - Mao, Jiangming
AU - Hirasawa, Kotaro
AU - Hu, Jinglu
AU - Murata, Junichi
PY - 2000/12/1
Y1 - 2000/12/1
N2 - Evolutionary Algorithms are often well-suited for optimization problems. Since the mid-1980's, interest in multiobjective problems has been expanding rapidly. Various evolutionary algorithms have been developed which are capable of searching for multiple solutions concurrently in a single run. In this paper, we proposed a genetic symbiosis algorithm (GSA) for multi-object optimization problems (MOP) based on the symbiotic concept found widely in ecosystem. In the proposed GSA for MOP, a set of symbiotic parameters are introduced to modify the fitness of individuals used for reproduction so as to obtain a variety of Pareto solutions corresponding to user's demands. The symbiotic parameters are trained by minimizing a user defined criterion function. Several numerical simulations are carried out to demonstrate the effectiveness of proposed GSA.
AB - Evolutionary Algorithms are often well-suited for optimization problems. Since the mid-1980's, interest in multiobjective problems has been expanding rapidly. Various evolutionary algorithms have been developed which are capable of searching for multiple solutions concurrently in a single run. In this paper, we proposed a genetic symbiosis algorithm (GSA) for multi-object optimization problems (MOP) based on the symbiotic concept found widely in ecosystem. In the proposed GSA for MOP, a set of symbiotic parameters are introduced to modify the fitness of individuals used for reproduction so as to obtain a variety of Pareto solutions corresponding to user's demands. The symbiotic parameters are trained by minimizing a user defined criterion function. Several numerical simulations are carried out to demonstrate the effectiveness of proposed GSA.
UR - http://www.scopus.com/inward/record.url?scp=84876956154&partnerID=8YFLogxK
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U2 - 10.1109/ROMAN.2000.892484
DO - 10.1109/ROMAN.2000.892484
M3 - Conference contribution
AN - SCOPUS:84876956154
SN - 078036273X
SN - 9780780362734
T3 - Proceedings - IEEE International Workshop on Robot and Human Interactive Communication
SP - 137
EP - 142
BT - Proceedings - 9th IEEE International Workshop on Robot and Human Interactive Communication, IEEE RO-MAN 2000
T2 - 9th IEEE International Workshop on Robot and Human Interactive Communication, IEEE RO-MAN 2000
Y2 - 27 September 2000 through 29 September 2000
ER -