An ellipsoidal distance-based search strategy of ants for nonlinear single and multiple response optimization problems

Author:

Bera Sasadhar,Mukherjee Indrajit

Publisher

Elsevier BV

Subject

Information Systems and Management,Management Science and Operations Research,Modelling and Simulation,General Computer Science,Industrial and Manufacturing Engineering

Reference30 articles.

1. An adaptive penalty function-based maximin desirability index for close tolerance multiple-response optimization problems;Bera;International Journal of Advanced Manufacturing Technology,2011

2. The ant colony metaphor for searching continuous design spaces;Bilchev,1995

3. The simplex-simulated annealing approach to continuous non-linear optimization;Cardoso;Computers & Chemical Engineering,1996

4. Chang, H.H., Chen, C.H., Tsou, C.S., 2006. Multiple dynamic quality systems using hybrid neuro-ants technique. In: Proceedings of the 9thJoint Conference on Information Sciences (JCISs), Atlantis Press, Kaohsiung, Taiwan.

5. A continuous genetic algorithm designed for the global optimization of multimodal functions;Chelouah;Journal of Heuristics,2000

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