Index Terms
- Evolutionary multi-objective optimization: past, present and future
Recommendations
An interactive evolutionary multi-objective optimization and decision making procedure
With the advent of efficient techniques for multi-objective evolutionary optimization (EMO), real-world search and optimization problems are being increasingly solved for multiple conflicting objectives. During the past decade of research and ...
Hyper multi-objective evolutionary algorithm for multi-objective optimization problems
Multi-objective optimization problems (MOPs) are very common in practice. To solve MOPs, many kinds of multi-objective evolutionary algorithms (MOEAs) are proposed. However, different MOEAs have different performances for different MOPs. Therefore, it ...
Approximate non-dominated sorting for evolutionary many-objective optimization
Non-dominated sorting has widely been adopted and shown to be very effective in dominance based evolutionary multi-objective optimization where the number of objectives is two or three. In dealing with many-objective optimization problems, where the ...
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