Optimization Theory, Methods, and Applications in Engineering (original) (raw)

2012, Mathematical Problems in Engineering

AI-generated Abstract

Over years of development, optimization theory and methods have grown in their ability to handle various practical problems. In light of advances in computing systems, optimization approaches have become one of the most promising techniques for engineering applications. To close the gap between optimization theory and the practice of engineering, this special issue intends to provide the details of recent advances of optimization sciences and promote the applications of optimization methods in engineering. This special issue also provides a forum for researchers and practitioners to review and disseminate quality research work on optimization approaches and their applications in the context of engineering and to identify critical issues for further developments. The papers accepted in the special issue include original research articles as well as review articles on all aspects of optimization including deterministic approaches, continuous, mixed-integer and discrete optimization, stochastic optimization, particle swarm optimization, neural network, simulated annealing, genetic algorithm, and hybrid methods. Some of the papers are dedicated to the development of advanced optimization methods for direct or indirect use in engineering problems such as network, scheduling, production planning, industrial engineering, and manufacturing systems. Contributions containing computational issues, search strategies, and modeling and solution techniques to practical problems such as multicriteria decision making and management information system are also involved.