To verify the effectiveness of the modified NSGA-II, some state-of-the-art algorithms as well as some other multi-objective evolutionary algorithms for solving TPs should be tested on the given problems.
What are some state-of-the-art algorithms that may be applied?
Dear Amiya,
Check my paper Article Improving Satellite Image Segmentation Using Evolutionary Computation
It is possible to find some answers to your question.
Generally, if you are using NSGA-II (one of the most popular MOEA algorithm), you might need to compare with other state-of-art algorithms such as:
1. Strength Pareto Evolutionary Algorithm 2 (SPEA2):
http://www.cleveralgorithms.com/nature-inspired/evolution/spea.html
2. Multiobjective Evolutionary Algorithm Based on Decomposition (MOEA/D)
https://dces.essex.ac.uk/staff/zhang/webofmoead.htm
3. Pareto Archived Evolution Strategy (PAES)
http://www.cs.bham.ac.uk/~jdk/multi/
4. You can search for more if you want. Especially search for Pareto based approaches if comparing with NSGA-II. However, above mentioned 1 and 2 are the state-of-art algorithms you are looking for.
All the Best.
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