Solving Multi-Objective Multi-Constrained Optimization Problems Using Hybrid Ants System and Tabu Search

• المؤلفون الرئيسيون: LAU, Hoong Chuin, LIM, Min Kwang, WAN, Wee Chong, WANG, Hui, WU, Xiaotao
• التنسيق: text
• اللغة: English
• منشور في: Institutional Knowledge at Singapore Management University 2003
• الموضوعات: Artificial Intelligence and Robotics; Operations Research, Systems Engineering and Industrial Engineering
• الوصول للمادة أونلاين: https://ink.library.smu.edu.sg/sis_research/2230; https://ink.library.smu.edu.sg/context/sis_research/article/3230/viewcontent/MIC03_HASTS.pdf

Many real-world optimization problems today are multi-objective multi-constraint generalizations of NP-hard problems. A classic case we study in this paper is the Inventory Routing Problem with Time Windows (IRPTW). IRPTW considers inventory costs across multiple instances of Vehicle Routing Problem...