@misc{10481/65077,
year = {2015},
month = {8},
url = {http://hdl.handle.net/10481/65077},
abstract = {Metaheuristics has attained increasing interest for solving complex real-world problems. This paper studies the principles and the state-of-the-art of metaheuristic methods for engineering optimization. Both the classic and emerging approaches to optimization using metaheuristics are reviewed and analyzed. All the methods are discussed in three basic types: trajectory-based, in which in each step a new solution is created from the previous one; multi-trajectory-based, in which a multi-start mechanism is used; and population-based, where multiple new solutions are created considering a population of approximate solutions. We further discuss algorithms and strategies to handle multi-modal and multi-objective optimization tasks as well as methods for parallel implementation of metaheuristic algorithms. Then, different software frameworks for metaheuristics are introduced. Finally, several interesting directions are pointed out as future research trends.},
organization = {Swedish Knowledge Foundation 	
16317},
organization = {ABB FACTS},
organization = {Prevas},
organization = {VG Power},
organization = {Spanish Government
	
TIN2011-28488
TIN 2012-37930-C02-01},
organization = {Andalusian Government 	
P10-TIC-6858},
publisher = {Atlantis Press; Taylor & Francis},
keywords = {Metaheuristics},
keywords = {Optimization methods},
keywords = {Trajectory-based optimization},
keywords = {Population-based optimization},
keywords = {Multimodal optimization},
keywords = {Multi-objective optimization},
keywords = {Parallel metaheuristics},
title = {A Walk into Metaheuristics for Engineering Optimization: Principles, Methods and Recent Trends},
doi = {10.1080/18756891.2015.1046324},
author = {Xiong, Ning and Molina Cabrera, Daniel and León Ortiz, Miguel and Herrera Triguero, Francisco},
}