Fuzzy approximate reasoning toward multi-objective optimization policy: Deployment for supply chain programming
MHF Zarandi, M Tarimoradi… - … annual conference of …, 2015 - ieeexplore.ieee.org
2015 annual conference of the north american fuzzy information …, 2015•ieeexplore.ieee.org
To make a policy and decision for an appropriate set of optimizer algorithms is an important
and controversial issue. It is significant especially when we want to consider more than a
single objective and have to use multi-objective applications. The aim of this paper is to
consider procedural fuzzy approximate reasoning to infer which one of the Multi-Objective
Evolutionary Algorithms (MOEAs) could play a role in the suitable set as prevalent tool. The
proposed procedure is put into practice for an invented bi-objective programming in the …
and controversial issue. It is significant especially when we want to consider more than a
single objective and have to use multi-objective applications. The aim of this paper is to
consider procedural fuzzy approximate reasoning to infer which one of the Multi-Objective
Evolutionary Algorithms (MOEAs) could play a role in the suitable set as prevalent tool. The
proposed procedure is put into practice for an invented bi-objective programming in the …
To make a policy and decision for an appropriate set of optimizer algorithms is an important and controversial issue. It is significant especially when we want to consider more than a single objective and have to use multi-objective applications. The aim of this paper is to consider procedural fuzzy approximate reasoning to infer which one of the Multi-Objective Evolutionary Algorithms (MOEAs) could play a role in the suitable set as prevalent tool. The proposed procedure is put into practice for an invented bi-objective programming in the supply chain and three numbers of similar applications from the same family, i.e. NSGA-II, NRGA, and PESA-II are deployed.
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