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In this paper, the mixed-integer nonlinear programming model is established for hybrid flow-shop scheduling problem (HFSP) with the minimum of makespan as the objective function. In order to reduce the computational complexity, immune clonal selection algorithm (ICSA) is applied to HFSP. The definitions of antibody affinity, comparability and density are given in detail. To improve the ability of...
This paper proposes a new hybrid meta-heuristic method for profit-based unit commitment (PBUC) that considers units with nonlinear cost function. The proposed method aims at global optimization to carry out profit maximization under competitive environment. The objective of the traditional UC is to minimize operation-cost while satisfying the constraints. However, power system operation needs reformulate...
In this paper, two approaches to utilizing contextual information in semantic image analysis are presented and comparatively evaluated. Both approaches make use of spatial context in the form of fuzzy directional relations. The first one is based on a Genetic Algorithm (GA), which is employed in order to decide upon the optimal semantic image interpretation by treating semantic image analysis as a...
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