Evolution Strategies for Vector Optimization
نویسنده
چکیده
Evolution strategies | a stochastic optimization method originally designed for single criterion problems | have been modiied in such a way that they can also tackle multiple criteria problems. Instead of computing only one eecient solution interactively, a decision maker can collect as many members of the Pareto set as needed before making up his mind. Apart from this feature one could also reeect upon the algorithm as a simple model of biological evolution. Following this idea one might emphasize the algorithm's capability of self{adapting its parameters. Furthermore, the eeect of polyploid individuals corresponds in both`worlds'.
منابع مشابه
OPTIMAL DESIGN OF GRAVITY DAM USING DIFFERENTIAL EVOLUTION ALGORITHM
The shape optimization of gravity dam is posed as an optimization problem with goals of minimum value of concrete, stresses and maximum safety against overturning and sliding need to be achieved. Optimally designed structure generally saves large investments especially for a large structure. The size of hydraulic structures is usually huge and thus requires a huge investment. If the optimizatio...
متن کاملEconomic Dispatch of Thermal Units with Valve-point Effect using Vector Coevolving Particle Swarm Optimization Algorithm
Abstract: This paper is intended to reduce the cost of producing fuel from thermal power plants using the problem of economic distribution. This means that in order to determine the share of each unit, considering the amount of consumption and restrictions, including the ones that can be applied to the rate of increase, the prohibited operating areas and the barrier of the vapor barrier, the pr...
متن کاملFuzzy logic controlled differential evolution to solve economic load dispatch problems
In recent years, soft computing methods have generated a large research interest. The synthesis of the fuzzy logic and the evolutionary algorithms is one of these methods. A particular evolutionary algorithm (EA) is differential evolution (DE). As for any EA, DE algorithm also requires parameters tuning to achieve desirable performance. In this paper tuning the perturbation factor vector of DE ...
متن کاملFuzzy logic controlled differential evolution to solve economic load dispatch problems
In recent years, soft computing methods have generated a large research interest. The synthesis of the fuzzy logic and the evolutionary algorithms is one of these methods. A particular evolutionary algorithm (EA) is differential evolution (DE). As for any EA, DE algorithm also requires parameters tuning to achieve desirable performance. In this paper tuning the perturbation factor vector of DE ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 1992