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The paper focuses on a special nonlinear bilevel programming problem (BLPP), and its characteristic is that the follower's programming is convex and quadratic, whereas there are no any additional requirements for the leader's functions. In order to solve the complex problem efficiently, it is first converted into an equivalent single-level programming by using Karush-Kuhn-Tucher (K-K-T) conditions,...
This paper studies the solving of time optimal control problems by using a hybrid genetic algorithm (HGA). HGA is a kind of GA in which the position displacement idea of the Particle Swarm Optimization (PSO) is applied to change the mutation operation rule and fix the next generation of chromosomes by recording the history optimal value of each chromosome and the optimal value of population. This...
The time and quantity constraints of each demand and the productivity and available scheduling periods of each supplier increase the complexity of Agile Supply Chain Scheduling(ASCS) problem. In order to resolve the ASCS optimization, this paper designs a Hybrid Genetic Algorithm(HGA) by combining common GA with greedy algorithm, which takes the sum cost of inventory and transportation of the supply...
This paper adopts a wrapper method to find a subset of features that are most relevant to the classification task. The approach utilizes an improved estimation of the conditional mutual information which is used as an independent measure for feature ranking in the local search operations. Meanwhile, the mutual information between the predictive labels of a trained classifier and the true classes is...
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