An efficient application of goal programming to tackle multiobjective problems with recurring fitness landscapes
Many real-world applications require decision-makers to assess the quality of solutions while considering multiple conflicting objectives. Obtaining good approximation sets for highly constrained many objective problems is often a difficult task even for modern multiobjective algorithms. In some cas...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2018
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| Subjects: | |
| Online Access: | https://eprints.nottingham.ac.uk/52700/ |