supply reservoir is formulated as a mixed integer programming and a hybrid algorithm is introduced for its solution. To … constraint handling in the solution methodology. The proposed algorithm couples an ant colony optimization (ACO) optimizer with a …

Empirical Mode Decomposition (EMD) and the Artificial Neural Networks (ANNs). To choose the best training algorithm for the ANN …

intractable. Therefore, we further develop a hybrid algorithm for effectively and efficiently solving the developed model. The … hybrid algorithm combines dynamic programming (DP), genetic algorithm (GA) and analytical methods. As demonstrated by our …’ profits significantly compared to non-selection strategy. The proposed hybrid algorithm can solve the model within a minute …

algorithm described here hybridizes two very simple heuristics and introduces a new genetic operator, the Chain Mutation, as …This paper presents EVE-OPT, a Hybrid Algorithm based on Genetic Algorithms and Taboo Search for solving the …

the problem are obtained by two local search heuristics that exist in the literature. These algorithms are combined with …

) 4511], a personalized recommendation algorithm with high performance in both accuracy and diversity is proposed. This …

algorithm described here hybridizes two very simple heuristics and introduces a new genetic operator, the Chain Mutation, as …This paper presents EVE-OPT, a Hybrid Algorithm based on Genetic Algorithms and Taboo Search for solving the …

In this paper, we present a new hybrid algorithm for convex Mixed Integer Nonlinear Programming (MINLP). The proposed … hybrid algorithm is an improved version of the classical nonlinear branch-and-bound (BB) procedure, where the enhancements … are obtained with the application of the outer approximation algorithm on some nodes of the enumeration tree. The two …