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Solving Multi-Objective Problems with MOEA/D and Quasi-Simplex Local Search
| Content Provider | Scilit |
|---|---|
| Author | Prestes, Lucas Almeida, Carolina Gonçalves, Richard |
| Copyright Year | 2020 |
| Description | Several practical problems can be formulated as optimization problems [228, 46], particularly in the Operational Research area [131, 202, 251]. Some of these problems have multiple conflicting objectives that need to be optimized at the same time, i.e., are Multi-Objective Problems (MOPs). The solution to a MOP is usually composed of a set of solutions that corresponds to different trade-offs between the objectives. In the absence of a priori information, the Pareto dominance concept is commonly used to determine the solutions that belong to this set, which is then called Pareto set. Book Name: Evolutionary Multi-Objective System Design |
| Related Links | https://content.taylorfrancis.com/books/download?dac=C2016-0-95896-1&isbn=9781315366845&doi=10.1201/9781315366845-6&format=pdf |
| Ending Page | 137 |
| Page Count | 23 |
| Starting Page | 115 |
| DOI | 10.1201/9781315366845-6 |
| Language | English |
| Publisher | Informa UK Limited |
| Publisher Date | 2020-07-15 |
| Access Restriction | Open |
| Subject Keyword | Book Name: Evolutionary Multi-objective System Design Operations Research and Management Science Optimization Multi Objective Objective Problems Pareto Composed Moea/d Priori Corresponds |
| Content Type | Text |
| Resource Type | Chapter |