The paper presents new ideas of maintaining population diversity in a hybrid evolutionary algorithm used for spectrum parameter optimization when characterizing the complexity of biological systems. Recent modificatio...
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ISBN:
(纸本)9616303813
The paper presents new ideas of maintaining population diversity in a hybrid evolutionary algorithm used for spectrum parameter optimization when characterizing the complexity of biological systems. Recent modification of the evolutionary algorithm (EA) by introducing the 'shaking' operator enabled to maintain solution diversity and speed-up calculations by factor of 5-7.
The solving of Real-World Multiobjective problems (MOPs) with an evolutionary Algorithm (EA) is an increasing area of interest. Presented in this paper is the application of a building block based EA to a real-world d...
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The solving of Real-World Multiobjective problems (MOPs) with an evolutionary Algorithm (EA) is an increasing area of interest. Presented in this paper is the application of a building block based EA to a real-world discrete MOP. A constraint handling method had to be designed and employed. The description of this method and the repair mechanism instrumented to repair infeasible solutions is described in detail along with statistical analysis.
An approach for speed tuning in railway management is presented for optimizing both travel duration and energy saving. This approach is based on a state-of-the-art evolutionary algorithm with Pareto approach. This alg...
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An integrated approach combining an evolutionary programming based fuzzy coordination and an artificial neural network methods along with a heuristic rule based search algorithm has been developed in this paper in ord...
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An evolutionary algorithm (EA) is designed and then is used to solve constrained optimization problems in this paper. The difference of the proposed algorithm from other EAs stays in combination of two crossover opera...
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We consider the problem of partitioning of an electronic system into k partitioning blocks taking into account the minimisation of the number of off-chip wires, the area of substrate and the power dissipated in blocks...
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To overcome the shortcomings of Multi-Objectives evolutionary algorithms (MOEAs) based on the notion of Objective-Space-Dividing (OSD) with high calculation complexity, this paper proposes an improved algorithm called...
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We introduce Embodied Evolution (EE) as a methodology for the automatic design of robotic controllers. EE is an evolutionary robotics (ER) technique that avoids the pitfalls of the simulate-and-transfer method, allows...
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How to evaluate the fitness of individual and how to generate the offspring of parents are two issues in TSP evolutionary algorithm. In insertion operator, the parents and its offspring have the same segment, which do...
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The paper depicts an design approach for the proposition of a new propulsion unit for a light electric vehicle (EV). For the given main data of the application, four motor variants are studied, numerically evaluated b...
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