Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Graphical abstractDisplay Omitted HighlightsMultivariant optimization algorithm is proposed to solve complex problems efficiently.The algorithm is proved to be globally convergent by theoretical analysis.Experimental results show MOA's strengths in convergence accuracy and probability. ,  introduce a new global optimization method and study its global convergence property through theoretical and experimental approaches. The proposed method is named as multivariant optimization algorithm (MOA) because the intelligent searchers, which are called as atoms, not only are divided into multiple subgroups but also are variant in responsibility. That is, global atoms explore the whole solution space in the hope of finding potential areas where local atoms start the local exploitation. The proposed method is characterized by two important features. On one hand, global atoms do the global exploration in each loop to jump out from local traps. On the other hand, global and local atoms conduct the global exploration and the local exploitation according to their own responsibility, respectively. These features contribute to increasing the chance of converging to the global best. To study the convergence property of MOA,  carried out the convergence analysis, numerical optimization experiments and the shortest path planning experiments. And the results demonstrate that MOA is globally convergent and superior to the compared methods in the global convergence accuracy and probability in solving complex challenging problems which have one or more features such as deceptiveness, randomly located optimum, asymmetry or multiple traps.
['Baolei Li', 'Jianhua Chen', 'Xinling Shi', 'Yufeng Zhang', 'Danjv Lv', 'Lanjuan Liu', 'Qinhu Zhang']
I am writing a research paper on a idea On the convergence of multivariant optimization algorithm
[{"from": "human", "value": "I am writing a research paper on a idea On the convergence of multivariant optimization algorithm"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Graphical abstractDisplay Omitted HighlightsMultivariant optimization algorithm is proposed to solve complex problems efficiently.The algorithm is proved to be globally convergent by theoretical analysis.Experimental results show MOA's strengths in convergence accuracy and probability. ,  introduce a new global optimization method and study its global convergence property through theoretical and experimental approaches. The proposed method is named as multivariant optimization algorithm (MOA) because the intelligent searchers, which are called as atoms, not only are divided into multiple subgroups but also are variant in responsibility. That is, global atoms explore the whole solution space in the hope of finding potential areas where local atoms start the local exploitation. The proposed method is characterized by two important features. On one hand, global atoms do the global exploration in each loop to jump out from local traps. On the other hand, global and local atoms conduct the global exploration and the local exploitation according to their own responsibility, respectively. These features contribute to increasing the chance of converging to the global best. To study the convergence property of MOA,  carried out the convergence analysis, numerical optimization experiments and the shortest path planning experiments. And the results demonstrate that MOA is globally convergent and superior to the compared methods in the global convergence accuracy and probability in solving complex challenging problems which have one or more features such as deceptiveness, randomly located optimum, asymmetry or multiple traps."}]