Towards Understanding Evolutionary Bilevel Multi-Objective Optimization Algorithm
نویسندگان
چکیده
منابع مشابه
Towards Understanding Evolutionary Bilevel Multi-Objective Optimization Algorithm
A number of studies can be found in the context of bilevel single objective optimization problems, but not many exist, which tackle the bilevel multi-objective problems. Deb and Sinha (October, 2008) proposed a bilevel multi-objective optimization algorithm based on evolutionary multi-objective optimization (EMO) principles and discussed the issues involved in solving such a problem. In this pa...
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Bilevel optimization problems are a class of challenging optimization problems, which contain two levels of optimization tasks. In these problems, the optimal solutions to the lower level problem become possible feasible candidates to the upper level problem. Such a requirement makes the optimization problem difficult to solve, and has kept the researchers busy towards devising methodologies, w...
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Bilevel optimization problems require every feasible upperlevel solution to satisfy optimality of a lower-level optimization problem. These problems commonly appear in many practical problem solving tasks including optimal control, process optimization, game-playing strategy development, transportation problems, and others. In the context of a bilevel single objective problem, there exists a nu...
متن کاملTowards Understanding Bilevel Multi-objective Optimization with Deterministic Lower Level Decisions
Ankur Sinha [email protected] Department of Information and Service Economy, Aalto University School of Business PO Box 21210, FIN-00076 Aalto, Helsinki, Finland Pekka Malo [email protected] Department of Information and Service Economy, Aalto University School of Business PO Box 21210, FIN-00076 Aalto, Helsinki, Finland Kalyanmoy Deb [email protected] Department of Electrical and Computer ...
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A hybrid unsupervised learning algorithm, which is termed as Parallel Rough-based Archived Multi-Objective Simulated Annealing (PARAMOSA), is proposed in this article. It comprises a judicious integration of the principles of the rough sets theory and the scalable distributed paradigm with the archived multi-objective simulated annealing approach. While the concept of boundary approximations of...
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ژورنال
عنوان ژورنال: IFAC Proceedings Volumes
سال: 2009
ISSN: 1474-6670
DOI: 10.3182/20090506-3-sf-4003.00062