February 2014
Intermediate to advanced
300 pages
8h 5m
English
Content preview from Nature-Inspired Optimization Algorithms
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14
Multi-Objective Optimization
Abstract
Real-world optimization problems often have multiple and potentially conflicting objectives. The algorithms that work for single objective optimization require some modifications before they can be used to solve multi-objective optimization problems. In addition, new concepts such as Pareto optimality need to be introduced. This chapter introduces the commonly used methods to deal with multi-objective optimization.
Keywords
Multi-objective
Multicriteria
Pareto front
Pareto optimality
Nondominated solutions
Weighted sum method
Utility function
All the optimization problems we discussed so far have only a single objective. In reality, we often have to optimize multiple objectives simultaneously. For ...
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