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【答案】应助回帖
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pengxp163: 金币+50, 翻译EPI+1, ★★★很有帮助, 满意！多谢版主！ 2014-02-28 21:20:04
The aplication of quantum genetic algorithm in chemical process optimization and decision-making
The chemical process designing was optimized to fully utilize resources , minimum energy consumption, minimize environmental pollution and meet the fundamental requirement of sustainable development. The chemical process optimization and decision-making is a complex combination of multi-objective optimization problem because the the economic and environmental factors are involved .However ,a more suitable chemical process and robust universal quantum genetic algorithm was created by combining the traditional genetic algorithm and quantum computing with the coding technology based on quantum rotating gate evolutionary computation . All these to some extent reduce the state dimension number to seek relevance suitable for chemical processes' multi-objective static and dynamic constraints and solve high-dimensional state space and no explicit analytical relationship between chemical processes in case of multi-objective optimization problem.
The created quantum genetic algorithm is with wider effective range ,higher solving precision, faster calculation speed than traditional genetic algorithm. It is the key breakthough in multi-objective optimization of chemical processes optimization technology . Though the practical application of engineering process optimization algorithms, the innovation of algorithm theory and encoding scheme can be guided to adopt more robust quantum genetic algorithm with better universality to accomplish multi-objective optimization of the chemical separation process.
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