| عنوان فارسی مقاله: |
روش جدید ترکیبی CLAM برای حل مسائل چند منظوره |
| عنوان انگلیسی مقاله: |
The New Hybrid Coaw Method For Solving Multi-Objective Problems |
چکیده
1. مقدمه
2. بهینه سازی الگوریتم فاخته
3. روش افزودن وزن ساده
4. ارائه الگوریتم ترکیبی CoAW
5- تحقیق الگوریتم COAW در بعضی از مشکلات آزمون
6. راه حل های مشکلات تست
7. نتیجه گیری
کلمات کلیدی :
Hybrid Artificial Glowworm Swarm Optimization Algorithm for Solving ...https://www.sciencedirect.com/science/article/pii/S1877705811020431by Q Gong - 2011 - Cited by 23 - Related articlesHybrid Artificial Glowworm Swarm Optimization Algorithm for Solving Multi-dimensional Knapsack Problem ... A. Plateeau, D. Tachat, P. TollaA hybrid search combing interior point methods and metaheuristics for 0-1 programming ... V. Vasquezm, Y. ImontImproved results on the 0-1 multi-dimensional knapsack problems.Hybrid Self-Organizing Modeling Systemshttps://books.google.com/books?isbn=3642015298Godfrey C Onwubolu - 2009 - MathematicsTherefore, most difficulties and deficiencies within the classical methods in solving multi-objective optimization problems are eliminated. For example, there is no need for either several runs to find the Pareto front or quantification of the importance of each objective using numerical weights. It is very important in evolutionary ...Bipolar Neutrosophic Projection Based Models for Solving ...https://books.google.com/books?id=9r87DwAAQBAJSurapati Pramanik, Partha Pratim Dey, Bibhas C. GiriIn the paper, we define projection, bidirectional projection and hybrid projection measures between bipolar neutrosophic sets. Three new methods based on the proposed projection measures are developed for solving multi-attribute decision making problems. In the solution process, the ratings of performance values of the ...