TY  - JOUR
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-84976463510&doi=10.1007%2f978-0-387-76813-7_20&partnerID=40&md5=5e56809f2714715625edf5d2fdd156e2
JF  - Springer Optimization and Its Applications
A1  - Jiménez, F.
A1  - Sánchez, G.
A1  - Vasant, P.
A1  - Verdegay, J.L.
VL  - 16
EP  - 537
Y1  - 2008///
SN  - 19316828
PB  - Springer International Publishing
N1  - cited By 3
N2  - This chapter outlines, first, a real-world industrial problem for product mix selection involving 8 variables and 21 constraints with fuzzy coefficients and, second, a multi-objective optimization approach to solve the problem. This problem occurs in production planning in which a decision maker plays a pivotal role in making decisions under a fuzzy environment. Decision maker should be aware of his/her level-of-satisfaction as well as degree of fuzziness while making the product mix decision. Thus, the authors have analyzed using a modified S-curve membership function for the fuzziness patterns and fuzzy sensitivity of the solution found from the multi-objective optimization methodology. An ad hoc Pareto-based multi-objective evolutionary algorithm is proposed to capture multiple nondominated solutions in a single run of the algorithm. Results obtained have been compared with the well-known multi-objective evolutionary algorithm NSGA-II. © Springer Science + Business Media, LLC 2008.
SP  - 523
TI  - Fuzzy optimization via multi-objective evolutionary computation for chocolate manufacturing
ID  - scholars487
AV  - none
ER  -