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In this paper an algorithm is proposed to find an integral solution of (nonlinear) complementarity problems. The … algorithm starts with a nonnegative integral point and generates a unique sequence of adjacent integral simplices of varying … dimension. Conditions are stated under which the algorithm terminates with a simplex one of whose vertices is an integral …
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into the consequences of introducing TSCs using computational experiments with a memetic algorithm metaheuristic. …
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Particle Swarm Optimization Algorithm, which proved to be a powerful unbiased optimization technique for sampling a large … enhancement is done using hybridized smoothening filters by The Particle Swarm Optimization algorithm and compared it with the … Genetic Algorithm …
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concepts from game theory to illustrate how the algorithm can be extended to incorporate retaliatory actions from competitors … player. In this paper we apply a new population-based algorithm called particle swarm optimization to the problem and employ … proposed particle swarm optimization algorithm constitutes an attractive alternative for solving the optimal product line …
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The high cost of a product failure makes it imperative for a company to assess the market penetration of a new product at its early design. In this context, the Optimal Product Line Design problem was formulated thirty five years ago, and remains a significant research topic in the area of...
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In many fields, we come across problems where we want to optimize several conflicting objectives simultaneously. To find a good solution for such multi-objective optimization problems, an approximation of the Pareto set is often generated. In this paper, we consider the approximation of Pareto...
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without such penalty. Several extensions of the proposed method are illustrated; in particular, an efficient algorithm for …
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