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遗传算法是一种模拟自然界生物进化的搜索算法，由于它简单易行，鲁
棒性强，尤其是其不需要专门的领域知识而仅用适应度函数作评价来指导搜
索过程，从而使它的应用范围极为广泛，并且己在众多领域得到了实际应用，
取得了许多令人瞩目的成果，引起广大学者和工程人员的关注。- The genetic algorithm is a kind of searching method which simulates the
natural evolution. It is simple and ea
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ES D evolution strategies GA D genetic algorithm ...... One of the first applications of genetic algorithms in explained here -ES D evolution strategies GA D genetic algorithm ...... One of the first applications of genetic algorithms in explained
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Real world problems often present multiple, frequently conflicting, objectives.
The research for optimal solutions of multi-objective problems
can be achieved through means of genetic algorithms, which are inspired
by the natural process of evo
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The genetic algorithm is a method for solving both constrained and unconstrained optimization problems that is based on natural selection, the process that drives biological evolution. The genetic algorithm repeatedly modifies a population of individ
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The purposed approach utilizes Differential Evolution (DE) to optimize an image processing chain which has successfully been used to segment breast ultrasound and X-ray lung images. The training is based on three sample images provided by an expert.
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