Optimization in Engineering Sciences: Approximate and Metaheuristic Methods

The purpose of this book is to present the main metaheuristics and approximate and stochastic methods for optimization of complex systems in Engineering Sciences. It has been written within the framework of the European Union project ERRIC (Empowering Romanian Research on Intelligent Information Technologies), which is funded by the EU’s FP7 Research Potential program and has been developed in co-operation between French and Romanian teaching researchers. Through the principles of various proposed algorithms (with additional references) this book allows the reader to explore various methods of implementation such as metaheuristics, local search and populationbased methods. It examines multi-objective and stochastic optimization, as well as methods and tools for computer-aided decision-making and simulation for decision-making.

Nyckelord: Engineering Management, Optimization in Engineering Sciences: Approximate and Metaheuristic Methods, Pierre Borne, F. G. Philip, Dumitru Popescu, Dan Stefanoiu, Abdelkader El Kamel, Vose-Liepins Algorithm with Infinite Population, Genetics Algorithms, Biologic Breviary, Nix-Vose Algorithm with finite Population, How to implement a Genetic Algorithms, Improved Particle Swarm Optimization Algorithm, Calculation of Solution to the Stochastic Problem