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Recent Advances in Computational Optimization de Stefka Fidanova

Recent Advances in Computational Optimization: Studies in Computational Intelligence, cartea 470

Editat de Stefka Fidanova
en Limba Engleză Hardback – 31 mai 2013
Optimization is part of our everyday life. We try to organize our work in a better way and optimization occurs in minimizing time and cost or the maximization of the profit, quality and efficiency.
Also many real world problems arising in engineering, economics, medicine and other domains can be formulated as optimization tasks.
This volume is a comprehensive collection of extended contributions from the Workshop on Computational Optimization.
This book presents recent advances in computational optimization. The volume includes important real world problems like parameter settings for con- trolling processes in bioreactor, robot skin wiring, strip packing, project scheduling, tuning of PID controller and so on. Some of them can be solved by applying traditional numerical methods, but others need a huge amount of computational resources. For them it is shown that is appropriate to develop algorithms based on metaheuristic methods like evolutionary computation, ant colony optimization, constrain programming etc.
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Specificații

ISBN-13: 9783319004099
ISBN-10: 3319004093
Pagini: 196
Ilustrații: X, 183 p.
Dimensiuni: 155 x 235 x 16 mm
Greutate: 0.45 kg
Ediția:2013
Editura: Springer International Publishing
Colecția Springer
Seria Studies in Computational Intelligence

Locul publicării:Cham, Switzerland

Public țintă

Research

Cuprins

Intuitionistic Fuzzy Logic as a Tool for Quality Assessment of Genetic Algorithms Performances.- A Graph Optimization Approach to Item-Based Collaborative Filtering.- Constraint Propagation for the Dial-a-Ride Problem with Split Loads.- ACO and GA for Parameter Settings of E.coli Fed-batch Cultivation Model.- A Heuristic Based Algorithm for the 2D Circular Strip Packing Problem.- Experimental Evaluation of Pheromone Structures for Ant Colony Optimization: Application to the Robot Skin Wiring Problem .- Homogeneous Non Idling Problems: Models and Algorithms.- Flow Models for Project Scheduling with Transfer Delays and Financial Constraints.- A New Hybrid GA-FA Tuning of PID Controller for Glucose Concentration Control.- Olympia Roeva and Tsonyo Slavov Constraints.- A New Hybrid GA-FA Tuning of PID Controller for Glucose Concentration Control.- Olympia Roeva and Tsonyo Slavov Concentration Control.- Olympia Roeva and Tsonyo Slavov Some properties of the Broyden restricted class of updates with oblique projections.

Textul de pe ultima copertă

Optimization is part of our everyday life. We try to organize our work in a better way and optimization occurs in minimizing time and cost or the maximization of the profit, quality and efficiency.
Also many real world problems arising in engineering, economics, medicine and other domains can be formulated as optimization tasks.
This volume is a comprehensive collection of extended contributions from the Workshop on Computational Optimization.
This book presents recent advances in computational optimization. The volume includes important real world problems like parameter settings for con- trolling processes in bioreactor, robot skin wiring, strip packing, project scheduling, tuning of PID controller and so on. Some of them can be solved by applying traditional numerical methods, but others need a huge amount of computational resources. For them it is shown that is appropriate to develop algorithms based on metaheuristic methods like evolutionary computation, ant colony optimization, constrain programming etc.

Caracteristici

Recent research in Computational Optimization Include important applications like parameter settings for controlling processes in bioreactor, robot skin wiring, strip packing, project scheduling or tuning of PID controller Written by experts in the field

Recenzii

“I would recommend this book both to practitioners interested in solving real-life optimization problems and to mathematicians and computer scientists developing and/or improving optimization algorithms. The plethora of application examples will help readers better understand the breadth of possible applications, teach them a few tricks that they will be able to use, and, by emphasizing remaining challenges, encourage future research.” (V. Kreinovich, Computing Reviews, November, 2016)