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Multiobjective combinatorial optimization: some approaches
In: Journal of multi-criteria decision analysis, Band 15, Heft 3-4, S. 69-78
ISSN: 1099-1360
AbstractThere have been many developments in multiple criteria decision‐making (MCDM) during the last 50 years. Researchers from different areas have also recognized the multiple‐criteria nature of problems in their application areas and tried to address these issues. Unfortunately, there has not always been sufficient information flow between the researchers in the MCDM area and the researchers applying MCDM to their problems. More recently, multiobjective combinatorial optimization (MOCO) and multiobjective metaheuristic areas have been enjoying substantial developments. These problems are hard to solve. Many researchers addressed the problem of finding all nondominated solutions. This is a difficult task for MOCO problems. This difficulty limits many of the studies to concentrate on bicriteria problems. In this paper, I review some MCDM approaches that aim to find only the preferred solutions of the decision maker (DM). I argue that this is especially important for MOCO problems. I discuss several of our approaches that incorporate DM's preferences into the solution process of MOCO problems and argue that there is a need for more work to be done in this area. Copyright © 2009 John Wiley & Sons, Ltd.
An Early History of Multiple Criteria Decision Making
In: Journal of multi-criteria decision analysis, Band 20, Heft 1-2, S. 87-94
ISSN: 1099-1360
ABSTRACTThis historical note is based on a plenary talk 'A History of Early Developments in Multiple Criteria Decision Making', presented by Stanley Zionts at the 21st International Conference on Multiple Criteria Decision Making held in Jyväskylä, Finland, June 2011. It draws heavily on our book, Multiple Criteria Decision Making: From Early History to the 21st Century, published by World Scientific, Singapore, 2011. Copyright © 2013 John Wiley & Sons, Ltd.
Network Redesign in Turkey: The Supply, Production, and Distribution of Malt and Beer
In: Handbook of Global Logistics; International Series in Operations Research & Management Science, S. 247-265
Multiple criteria decision making in the new millennium: proceedings of the Fifteenth International Conference on Multiple Criteria Decision Making (MCDM), Ankara, Turkey, July 10 - 14, 2000
In: Lecture notes in economics and mathematical systems 507
Impact of Number of Interactions, Different Interaction Patterns, and Human Inconsistencies on Some Hybrid Evolutionary Multiobjective Optimization Algorithms*
In: Decision sciences, Band 46, Heft 5, S. 981-1006
ISSN: 1540-5915
ABSTRACTWe investigate the impact of the number of human–computer interactions, different interaction patterns, and human inconsistencies in decision maker responses on the convergence of an interactive, evolutionary multiobjective algorithm recently developed by the authors. In our context "an interaction" means choosing the best and worst solutions among a sample of six solutions. By interaction patterns we refer to whether preference questioning is more front‐, center‐, rear‐, or edge‐loaded. As test problems we use two‐ to four‐objective knapsack problems, multicriteria scheduling problems, and multiobjective facility location problems. In the tests, two different preference functions are used to represent actual decision maker preferences, linear and Chebyshev. The results indicate that it is possible to obtain solutions that are very good or even nearly optimal with a reasonable number of interactions. The results also indicate that the algorithm is robust to minor inconsistencies in decision maker responses. There is also surprising robustness toward different patterns of interaction with the decision maker. The results are of interest to the evolutionary multiobjective (EMO) community actively developing hybrid interactive EMO approaches.