Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Constrained optimization problems are with great difficulties to be solved for the complex influences of their constraints. Hover, many crossover operators in the constrained evolutionary algorithms have a disadvantage on bias search of the boundary. A novel uniform design based crossover operator coupled with a new space searching strategy aiming to overcome this disadvantage are proposed in this paper. Based on this, a hybrid evolutionary algorithm with domination clustering is constructed to solve constrained multiobjective optimization problems. Experiments on 13 benchmarks are made, and the results are conpared with existing algorithms to demonstrate the effectiveness and positiveness of the proposed algorithm.
['Lei Fan', 'Yanfang Liang', 'Xiyang Liu', 'Xin Gu']
I am writing a research paper on a idea A Hybrid Evolutionary Algorithm Based on Dominated Clustering for Constrained Bi-Objective Optimization Problems
[{"from": "human", "value": "I am writing a research paper on a idea A Hybrid Evolutionary Algorithm Based on Dominated Clustering for Constrained Bi-Objective Optimization Problems"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Constrained optimization problems are with great difficulties to be solved for the complex influences of their constraints. Hover, many crossover operators in the constrained evolutionary algorithms have a disadvantage on bias search of the boundary. A novel uniform design based crossover operator coupled with a new space searching strategy aiming to overcome this disadvantage are proposed in this paper. Based on this, a hybrid evolutionary algorithm with domination clustering is constructed to solve constrained multiobjective optimization problems. Experiments on 13 benchmarks are made, and the results are conpared with existing algorithms to demonstrate the effectiveness and positiveness of the proposed algorithm."}]