Abstract
Many real world problems, including the design problem, involve multiple and often conflicting objectives. Genetic Algorithm (GA) is an effective method to solve such multi objective optimization problems. The designer usually has some information and knowledge based on his/her experience. This paper describes a new method for multi objective design problems using GA, which can integrate designer’s vague preferences into GA search. First, a multi objective optimization problem with constraints is expressed as a satisficing problem of constraints by introducing an aspiration level for each objective. Furthermore, the unsatisfying function is introduced in order to handle fuzziness involved in aspiration level and constraint, and the problem is formulated as a multi objective minimization problem of unsatisfaction ratings. In order to obtain a group of Pareto optimal solutions in which the designer is interested, a new strategy based on tournament selection is proposed. Finally, the proposed method is applied to a simple numerical example and a design problem of a four bar plane truss.
| Original language | English |
|---|---|
| Pages (from-to) | 3371-3377 |
| Number of pages | 7 |
| Journal | Nihon Kikai Gakkai Ronbunshu, C Hen/Transactions of the Japan Society of Mechanical Engineers, Part C |
| Volume | 67 |
| Issue number | 663 |
| DOIs | |
| Publication status | Published - Jan 1 2001 |
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All Science Journal Classification (ASJC) codes
- Mechanics of Materials
- Mechanical Engineering
- Industrial and Manufacturing Engineering
Cite this
Multi-Objective Design Using Genetic Algorithm Considering Designer’s Preferences. / Tsuji, Yasutaka; Kiyota, Takanori; Kondo, Eiji.
In: Nihon Kikai Gakkai Ronbunshu, C Hen/Transactions of the Japan Society of Mechanical Engineers, Part C, Vol. 67, No. 663, 01.01.2001, p. 3371-3377.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Multi-Objective Design Using Genetic Algorithm Considering Designer’s Preferences
AU - Tsuji, Yasutaka
AU - Kiyota, Takanori
AU - Kondo, Eiji
PY - 2001/1/1
Y1 - 2001/1/1
N2 - Many real world problems, including the design problem, involve multiple and often conflicting objectives. Genetic Algorithm (GA) is an effective method to solve such multi objective optimization problems. The designer usually has some information and knowledge based on his/her experience. This paper describes a new method for multi objective design problems using GA, which can integrate designer’s vague preferences into GA search. First, a multi objective optimization problem with constraints is expressed as a satisficing problem of constraints by introducing an aspiration level for each objective. Furthermore, the unsatisfying function is introduced in order to handle fuzziness involved in aspiration level and constraint, and the problem is formulated as a multi objective minimization problem of unsatisfaction ratings. In order to obtain a group of Pareto optimal solutions in which the designer is interested, a new strategy based on tournament selection is proposed. Finally, the proposed method is applied to a simple numerical example and a design problem of a four bar plane truss.
AB - Many real world problems, including the design problem, involve multiple and often conflicting objectives. Genetic Algorithm (GA) is an effective method to solve such multi objective optimization problems. The designer usually has some information and knowledge based on his/her experience. This paper describes a new method for multi objective design problems using GA, which can integrate designer’s vague preferences into GA search. First, a multi objective optimization problem with constraints is expressed as a satisficing problem of constraints by introducing an aspiration level for each objective. Furthermore, the unsatisfying function is introduced in order to handle fuzziness involved in aspiration level and constraint, and the problem is formulated as a multi objective minimization problem of unsatisfaction ratings. In order to obtain a group of Pareto optimal solutions in which the designer is interested, a new strategy based on tournament selection is proposed. Finally, the proposed method is applied to a simple numerical example and a design problem of a four bar plane truss.
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U2 - 10.1299/kikaic.67.3371
DO - 10.1299/kikaic.67.3371
M3 - Article
AN - SCOPUS:85024468574
VL - 67
SP - 3371
EP - 3377
JO - Nippon Kikai Gakkai Ronbunshu, C Hen/Transactions of the Japan Society of Mechanical Engineers, Part C
JF - Nippon Kikai Gakkai Ronbunshu, C Hen/Transactions of the Japan Society of Mechanical Engineers, Part C
SN - 0387-5024
IS - 663
ER -