In this paper, we present a Fuzzy Influence Function for the CAEP model (Cultural algorithms with evolutionary Programming) proposed by Chung [1] and extended by Zhu [6], applied to real-valued function optimization. ...
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ISBN:
(纸本)9781605583259
In this paper, we present a Fuzzy Influence Function for the CAEP model (Cultural algorithms with evolutionary Programming) proposed by Chung [1] and extended by Zhu [6], applied to real-valued function optimization. The proposal makes use of a Fuzzy Inference System - FIS - to adjust an Influence Factor that represents the intensity of the influence of the Variation operator of the CAEP model. This paper also presents a comparative analysis of the proposed influence function using a set of 17 of the CEC '05 benchmarking functions.
Graphs are powerful and versatile data structures, useful to represent complex and structured information of interest in various fields of science and engineering. We present a system, called EvoGeneS, based on an evo...
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In this paper, aerodynamic blade design optimization for a transonic axial compressor has demonstrated by using an evolutionary-algorithm-based high-fidelity design optimization tool. The present method uses a three-d...
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ISBN:
(纸本)9781624100864
In this paper, aerodynamic blade design optimization for a transonic axial compressor has demonstrated by using an evolutionary-algorithm-based high-fidelity design optimization tool. The present method uses a three-dimensional Navier-Stokes solver named TRAF3D for aerodynamic analysis to represent flow fields accurately and the real-coded ARGA for efficient and robust design optimization. The present method successfully obtained a design that reduced entropy production by more than 16% compared with the rotor67 while satisfying constraints on the mass flow rate and the pressure ratio. This study gave some insights into design optimization of a swept and leaned rotor blade for transonic axial compressors.
This paper presents a scheme that the Mind evolutionary Algorithm(MEA) tunes adaptively parameters of the generalized predictive controller. The value domain of parameters constitutes the solution space of MEA. The co...
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Multi-objective optimization(MOO) has become an important research area of evolutionary computation in recent years,and the current research work focuses on the Pareto optimal-based MOO evolutionary approaches. The re...
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In this paper we propose a heuristic based evolutionary algorithm for the Maximum Clique Problem. The algorithm is based on a local search heuristic centered on a continuous formulation of the problem which is approac...
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ISBN:
(纸本)0780363752
In this paper we propose a heuristic based evolutionary algorithm for the Maximum Clique Problem. The algorithm is based on a local search heuristic centered on a continuous formulation of the problem which is approached with a class of dynamical systems called Replicator Equations. We show how, embedding this local search heuristic within an evolutionary algorithm, help the replicator equations heuristic to find larger cliques, and lead to an effective algorithm for the Maximum Clique Problem. Experimental results performed on a class of benchmark instances from the literature assess the effectiveness of the proposed algorithm.
A novel approach for active training example selection in classification problems is presented. This active selection of training examples is designed to decrease the amount of computation resources required and incre...
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Risk Budgeting is a relatively recent investment strategy instrumental in building long-short portfolios and notionally expected to enhance investment exposure and market protection. However, the inclusion of the stra...
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This paper analyzes the dynamic disassembly line balancing problem based on product state uncertainty and regards it as a dynamic multi-objective optimization problem to solve. In dynamic multi-objective optimization ...
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We propose an industrial technological solution for the traveling salesman problem (TSP) by using the approximated cost matrix and an accelerated evolutionary computation (EC) algorithm. The cost matrix used by theore...
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