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Efficient Optimization Using Metaheuristics
2018This chapter provides an insight into the main concepts, theoretical advances, and experimental results in the field of metaheuristics, when applied for efficiently solving real-world optimization problems. A general view of the most well-known metaheuristic methods is presented.
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Overview of metaheuristic optimization
2018Metaheuristic optimization methods have become significant tools and often the only way of solving practical optimization problems. The basic requirement from these methods is to obtain the global solution or a solution close to the global optimum in a reasonable time.
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Parameter Meta-optimization of Metaheuristic Optimization Algorithms
2012The quality of a heuristic optimization algorithm is strongly dependent on its parameter values. Finding the optimal parameter values is a laborious task which requires expertise and knowledge about the algorithm, its parameters and the problem. This paper describes, how the optimization of parameters can be automated by using another optimization ...
Christoph Neumüller +3 more
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ADVANCES IN METAHEURISTICS FOR HARD OPTIMIZATION
2008In this work, we introduce a new parallel ant colony optimization algorithm based on an ant metaphor and the crossover operator from genetic algorithms.The performance of the proposed model is evaluated usingwell-known numerical test problems and then it is applied to train recurrent neural networks to identify linear and nonlinear dynamic plants.
KALINLI, Adem, Sarıkoç, Fatih
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