As a small energy system, microgrid plays an important role in utilizing distributed resources, improving traditional networks, and building intelligent integrated systems. However, management is always challenging optimization problem due to different factors. Meta-heuristics have been widely used solve complex problems many fields, including there lack of systematic summary the application me...

27 28 29 30 31 32 33 34 35 36 Article history: Received 11 March 2014 Received in revised form 14 August 2014 Accepted 7 November 2014 Available online xxxx

We present a state-of-the-art survey of parallel meta-heuristic strategies, developments, and results. We discuss general design and implementation principles that apply to most metaheuristic classes and instantiate these principles for neighborhood and population-based metaheuristics. We also identify a number of trends and promising research directions.

1 Departamento de Engenharia de Produção, Universidade Federal de Sao Carlos, C.P. 676, 13565-905, Sao Carlos, SP, Brazil [email protected]; [email protected] 2 Departamento de Matemática, Estat́ıstica e Computação, Universidade Estadual Paulista, C.P. 1234, 19060-400, Presidente Prudente, SP, Brazil [email protected] 3 Dept. of Technology and Operations Management, Univers...

Local search is an integral part of many meta-heuristic strategies that solve single objective optimisation problems. Essentially, the meta-heuristic is responsible for generating a good starting point from which a greedy local search will find the local optimum. Indeed, the best known solutions to many hard problems (such as the travelling salesman problem) have been generated in this hybrid w...

Background Many combinatorial optimization problems are NP-hard, and the theory of NP-completeness has reduced hopes that NP-hard problems can be solved within polynomially bounded computation times (Dahlke 2008; Dunne 2008). Nevertheless, sub-optimal solutions are sometimes easy to find. Consequently, there is much interest in approximation and heuristic algorithms that can find near optimal s...

Optimization of machining processes is of primary importance for increasing machining efficiency and economics. Determining optimal values of machining parameters is performed by applying optimization algorithms to mathematical models of relationships between machining parameters and machining performance measures. In recent years, there has been an increasing trend of using empirical models an...

A new meta-heuristic method, based on Neuronal Communication (NC), is introduced in this article. The neuronal communication illustrates how data is exchanged between neurons in neural system. Actually, this pattern works efficiently in the nature. The present paper shows it is the same to find the global minimum. In addition, since few numbers of neurons participate in each step of the method,...