@article{(Open Science Index):https://publications.waset.org/pdf/3952, title = {Multi-Case Multi-Objective Simulated Annealing (MC-MOSA): New Approach to Adapt Simulated Annealing to Multi-objective Optimization}, author = {Abdelfatteh Haidine and Ralf Lehnert}, country = {}, institution = {}, abstract = {In this paper a new approach is proposed for the adaptation of the simulated annealing search in the field of the Multi-Objective Optimization (MOO). This new approach is called Multi-Case Multi-Objective Simulated Annealing (MC-MOSA). It uses some basics of a well-known recent Multi-Objective Simulated Annealing proposed by Ulungu et al., which is referred in the literature as U-MOSA. However, some drawbacks of this algorithm have been found, and are substituted by other ones, especially in the acceptance decision criterion. The MC-MOSA has shown better performance than the U-MOSA in the numerical experiments. This performance is further improved by some other subvariants of the MC-MOSA, such as Fast-annealing MC-MOSA, Re-annealing MCMOSA and the Two-Stage annealing MC-MOSA.}, journal = {International Journal of Computer and Information Engineering}, volume = {2}, number = {12}, year = {2008}, pages = {4295 - 4303}, ee = {https://publications.waset.org/pdf/3952}, url = {https://publications.waset.org/vol/24}, bibsource = {https://publications.waset.org/}, issn = {eISSN: 1307-6892}, publisher = {World Academy of Science, Engineering and Technology}, index = {Open Science Index 24, 2008}, }