Operations Research and Optimization
FOTA 2016, Kolkata, India, November 24-26
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Beschreibung
This book discusses recent developments in the vast domain of optimization. Featuring papers presented at the 1st International Conference on Frontiers in Optimization: Theory and Applications (FOTA 2016), held at the Heritage Institute of Technology, Kolkata, on 24–26 December 2016, it opens new avenues of research in all topics related to optimization, such as linear and nonlinear optimization; combinatorial-, stochastic-, dynamic-, fuzzy-, and uncertain optimization; optimal control theory; as well as multi-objective, evolutionary and convex optimization and their applications in intelligent information and technology, systems science, knowledge management, information and communication, supply chain and inventory control, scheduling, networks, transportation and logistics and finance. The book is a valuable resource for researchers, scientists and engineers from both academia and industry.
Contain topics on vast domains of optimization Presents research findings and state-of-the-art solutions from global researchers Provides recent research and development in optimization and its applicationsDiscusses topics in mathematics, operations research, medical sciences, statistics, computer science and energy
Includes papers presented at the 1st International Conference on Frontiers in Optimization: Theory and Applications (FOTA 2016), held at the Heritage Institute of Technology, Kolkata, on 24–26 December 2016 Discusses topics related to the vast domain of optimization Provides research findings and state-of-the-art solutions from international researchers Presents recent research and development in optimization and its applications Explores topics in mathematics, operations research, medical sciences, statistics, computer science, and energy
Autor*in
Samarjit Kar
Themen in »Operations Research and Optimization«
Operational Research Linear optimization nonlinear optimization Optimal Control Theory Combinatorial optimization Stochastic optimization Dynamic optimization Evolutionary optimization Convex Optimization Fuzzy Optimization