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Evolutionary Multiobjective Optimization including Practically Desirable Solutions
Joint Authors
Sagawa, Miyako
Kusuno, Natsuki
Aguirre, Hernán
Tanaka, Kiyoshi
Koishi, Masataka
Source
Advances in Operations Research
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-11-08
Country of Publication
Egypt
No. of Pages
16
Main Subjects
Information Technology and Computer Science
Abstract EN
In many practical situations the decision-maker has to pay special attention to decision space to determine the constructability of a potential solution, in addition to its optimality in objective space.
Practically desirable solutions are those around preferred values in decision space and within a distance from optimality.
This work investigates two methods to find simultaneously optimal and practically desirable solutions.
The methods expand the objective space by adding fitness functions that favor preferred values for some variables.
In addition, the methods incorporate a ranking mechanism that takes into account Pareto dominance in objective space and desirability in decision space.
One method searches with one population in the expanded space, whereas the other one uses two populations to search concurrently in the original and expanded space.
Our experimental results on benchmark and real world problems show that the proposed method can effectively find optimal and practically desirable solutions.
American Psychological Association (APA)
Sagawa, Miyako& Kusuno, Natsuki& Aguirre, Hernán& Tanaka, Kiyoshi& Koishi, Masataka. 2017. Evolutionary Multiobjective Optimization including Practically Desirable Solutions. Advances in Operations Research،Vol. 2017, no. 2017, pp.1-16.
https://search.emarefa.net/detail/BIM-1125241
Modern Language Association (MLA)
Sagawa, Miyako…[et al.]. Evolutionary Multiobjective Optimization including Practically Desirable Solutions. Advances in Operations Research No. 2017 (2017), pp.1-16.
https://search.emarefa.net/detail/BIM-1125241
American Medical Association (AMA)
Sagawa, Miyako& Kusuno, Natsuki& Aguirre, Hernán& Tanaka, Kiyoshi& Koishi, Masataka. Evolutionary Multiobjective Optimization including Practically Desirable Solutions. Advances in Operations Research. 2017. Vol. 2017, no. 2017, pp.1-16.
https://search.emarefa.net/detail/BIM-1125241
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1125241