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This paper proposes a new kind of constraint handling method for optimization. In the proposed method, a transformation of constraint functions to be another objective function will be discussed in details. With this technique we can transform the constraint problem to be unconstraint multiobjective optimization and use the multi-objective optimization methods to find feasible solutions. The performance...
Optimization is one of the most primary jobs of all the engineering problems. We are fortunate to have blessed with scores of methods available for optimization purpose. Evolutionary algorithm is fast becoming one of the most sought after methods for this purpose. This method depends upon random moves. So sometimes the time consumed by this algorithm is much more than expected. With an aim to get...
In this paper, we propose a novel objective function called the adaptive Fuzzy Weighted Sum Validity Function(FWSVF), which is a merged weight of the several fuzzy cluster validity functions, including XB, PE, PC and PBMF. The improved validity function is more efficient than others. Furthermore, we present a Mixed Strategy Evolutionary Clustering Algorithm based adaptive validity function(AMSECA),...
The Intelligent evolutionary algorithm-probability learning based algorithm is applied to multiple constraints Qos(Quality of Service) routing problem of network. The objective function is to minimize the cost and meet multiple constraints. The procedure and the choice probabilitypsilas update strategy of PBIL algorithm are designed according to the characteristics of multiple constraints Qos routing...
Hardware/software partitioning is a key problem in hardware/software co-design and global optimums detection of the objective function is of vital importance in hardware/software partitioning. Though stochastic optimization strategies simulating evolution process are proved to be valuable tools, the balance between exploitation and exploration of which is difficult to be maintained. In this paper,...
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