the Academic NEST

Konstantinos E. Parsopoulos, Michael N. Vrahatis ... 328 pages - Publisher: IGI Global; 1st edition (January, 2010) ... Language: English - ISBN-10: 1615206663 - ISBN-13: 978-1615206667.

Ying Tan, Yuhui Shi, Li Li ... 657 pages - Publisher: Springer; 1st edition (September, 2016) ... Language: English - ASIN: B01IK5HJEQ by Amazon Digital Services ...

This two-volume set LNCS 9712 and LNCS 9713 constitutes the refereed proceedings of the 7th International Conference on Swarm Intelligence, ICSI 2016, held in Bali, Indonesia, in June 2016. The 130 revised regular papers presented were carefully reviewed and selected from 231 submissions. The papers are organized in 22 cohesive sections covering major topics of swarm intelligence and related areas such as trend and models of swarm intelligence research; novel swarm-based optimization algorithms; swarming behaviour; some swarm intelligence algorithms and their applications; hybrid search optimization; particle swarm optimization; PSO applications; ant colony optimization; brain storm optimization; fireworks algorithms; multi-objective optimization; large-scale global optimization; biometrics; scheduling and planning; machine learning methods; clustering algorithm; classification; image classification and encryption; data mining; sensor networks and social networks; neural networks; swarm intelligence in management decision making and operations research; robot control; swarm robotics; intelligent energy and communications systems; and intelligent and interactive and tutoring systems.

A. Kaveh ... 373 pages -Publisher: Springer; (December, 2016) ... Language: English - ISBN-10: 3319480111 - ISBN-13: 978-3319480114.

The book presents recently developed efficient metaheuristic optimization algorithms and their applications for solving various optimization problems in civil engineering. The concepts can also be used for optimizing problems in mechanical and electrical engineering.

Marco Dorigo, Mauro Birattari, Christian Blum, Maurice Clerc, Thomas Stützle, Alan Winfield ... 416 pages - Publisher: Springer; (October, 2008) ... Language: English - ISBN-10: 3540875263 - ISBN-13: 978-3540875260.

This book constitutes the refereed proceedings of the 6th International Workshop on Ant Colony Optimization and Swarm Intelligence, ANTS 2008, held in Brussels, Belgium, in September 2008. The 17 revised full papers, 24 revised short papers, and 10 extended abstracts presented were carefully reviewed and selected from 91 submissions. The papers cover theoretical and foundational aspects of computational intelligence and related disciplines with special focus on swarm intelligence and are devoted to behavioral models of social insects and new algorithmic approaches, empirical and theoretical research in swarm intelligence, applications such as ant colony optimization or particle swarm optimization, and theoretical and experimental research in swarm robotics systems.

The series of biannual international conferences “ANTS – International C- ference on Ant Colony Optimization and Swarm Intelligence”, now in its sixth edition, was started ten years ago, with the organization of ANTS’98. As some readers might recall, the first edition of ANTS was titled “ANTS’98 – From Ant Colonies to Artificial Ants: First International Workshop on Ant Colony Op- mization. ” In fact, at that time the focus was mainly on ant colony optimization (ACO), the first swarm intelligence algorithm to go beyond a pure scientific interest and to enter the realm of real-world applications. Interestingly, in the ten years after the first edition there has been a gr- ing interest not only for ACO, but for a number of other studies that belong more generally to the area of swarmintelligence. The rapid growth of the swarm intelligence field is attested by a number of indicators. First, the number of s- missions and participants to the ANTS conferences has steadily increased over the years. Second, a number of international conferences in computational - intelligence and related disciplines organize workshops on subjects such as swarm intelligence, ant algorithms, ant colony optimization, and particle swarm op- mization. Third, IEEE startedorganizing,in 2003, the IEEE SwarmIntelligence Symposium (in order to maintain unity in this growing field, we are currently establishing a cooperation agreement between IEEE SISandANTSsoastohave 1 IEEE SIS in odd years and ANTS in even years). Last, the Swarm Intelligence journal was born.

Avi Ostfeld ... 352 pages - Publisher: InTech; 1st edition (February, 2011) ...
Language: English - ISBN-10: N/A - ISBN-13: 978-9533071572 ...

Ants communicate information by leaving pheromone tracks. A moving ant leaves, in varying quantities, some pheromone on the ground to mark its way. While an isolated ant moves essentially at random, an ant encountering a previously laid trail is able to detect it and decide with high probability to follow it, thus reinforcing the track with its own pheromone. The collective behavior that emerges is thus a positive feedback: where the more the ants following a track, the more attractive that track becomes for being followed; thus the probability with which an ant chooses a path increases with the number of ants that previously chose the same path. This elementary ant's behavior inspired the development of ant colony optimization by Marco Dorigo in 1992, constructing a meta-heuristic stochastic combinatorial computational methodology belonging to a family of related meta-heuristic methods such as simulated annealing, Tabu search and genetic algorithms. This book covers in twenty chapters state of the art methods and applications of utilizing ant colony optimization algorithms. New methods and theory such as multi colony ant algorithm based upon a new pheromone arithmetic crossover and a repulsive operator, new findings on ant colony convergence, and a diversity of engineering and science applications from transportation, water resources, electrical and computer science disciplines are presented.

Christine Solnon ... 320 pages - Publisher: Wiley-ISTE; (May, 2010) - Language: English - ISBN-10: 1848211309 - ISBN-13: 978-1848211308.

Ant colony optimization is a metaheuristic which has been successfully applied to a wide range of combinatorial optimization problems. The author describes this metaheuristic and studies its efficiency for solving some hard combinatorial problems, with a specific focus on constraint programming. The text is organized into three parts. The first part introduces constraint programming, which provides high level features to declaratively model problems by means of constraints. It describes the main existing approaches for solving constraint satisfaction problems, including complete tree search approaches and metaheuristics, and shows how they can be integrated within constraint programming languages.

The second part describes the ant colony optimization metaheuristic and illustrates its capabilities on different constraint satisfaction problems. The third part shows how the ant colony may be integrated within a constraint programming language, thus combining the expressive power of constraint programming languages, to describe problems in a declarative way, and the solving power of ant colony optimization to efficiently solve these problems.

Edwin K. P. Chong, Stanislaw H. Zak ... 640 pages - Publisher: Wiley; 4th edition (January, 2013) ... Language: English - ISBN-10: 1118279018 - ISBN-13: 978-1118279014 ...

Fully updated to reflect new developments in the field, the Fourth Edition of Introduction to Optimization fills the need for accessible treatment of optimization theory and methods with an emphasis on engineering design. Basic definitions and notations are provided in addition to the related fundamental background for linear algebra, geometry, and calculus. This new edition explores the essential topics of unconstrained optimization problems, linear programming problems, and nonlinear constrained optimization. The authors also present an optimization perspective on global search methods and include discussions on genetic algorithms, particle swarm optimization, and the simulated annealing algorithm.  Featuring an elementary introduction to artificial neural networks, convex optimization, and multi-objective optimization, the Fourth Edition also offers: * A new chapter on integer programming * Expanded coverage of one-dimensional methods * Updated and expanded sections on linear matrix inequalities * Numerous new exercises at the end of each chapter * MATLAB exercises and drill problems to reinforce the discussed theory and algorithms * Numerous diagrams and figures that complement the written presentation of key concepts * MATLAB M-files for implementation of the discussed theory and algorithms (available via the book's website). Introduction to Optimization, Fourth Edition is an ideal textbook for courses on optimization theory and methods. In addition, the book is a useful reference for professionals in mathematics, operations research, electrical engineering, economics, statistics, and business.

Xin-She Yang ... 300 pages - Publisher: Elsevier; 1st edition (March, 2014) ... 
Language: English - ISBN-10: 0124167438 - ISBN-13: 978-0124167438 ...

Kamran Iqbal ... 162 pages - Publisher: BookBoon; (2013) ... Language: English - ISBN-10: 8740304893 - ISBN-13: 978-8740304893 ...

This book is addressed to students in the fields of engineering and technology as well as practicing engineers. It covers the fundamentals of commonly used optimization methods in engineering design. These include graphical optimization, linear and nonlinear programming, numerical optimization, and discrete optimization. The methods covered in this book include: analytical methods that are based on calculus of variations; graphical methods that are useful when minimizing functions involving a small number of variables; and iterative methods that are computer friendly, yet require a good understanding of the problem. Both linear and nonlinear methods are covered. Engineering examples have been used to build an understanding of how these methods can be applied. The material is presented roughly at senior undergraduate level. Readers are expected to have familiarity with linear algebra and multivariable calculus. Contents: Preface. Engineering Design Optimization: Introduction. Optimization Examples in Science and Engineering. Notation. Mathematical Preliminaries. Set Definitions. Function Definitions. Taylor Series Approximation. Gradient Vector and Hessian Matrix. Convex Optimization Problems. Vector and Matrix Norms. Matrix Eigenvalues and Singular Values. Quadratic Function Forms. Linear Systems of Equations. Linear Diophantine System of Equations. Condition Number and Convergence Rates. Conjugate-Gradient Method for Linear Equations. Newton’s Method for Nonlinear Equations. Graphical Optimization. Functional Minimization in One-Dimension. Graphical Optimization in Two-Dimensions. Mathematical Optimization. The Optimization Problem. Optimality criteria for the Unconstrained Problems. Optimality Criteria for the Constrained Problems. Optimality Criteria for General Optimization Problems. Postoptimality Analysis. Lagrangian Duality. Linear Programming Methods. The Standard LP Problem. The Basic Solution to the LP Problem. The Simplex Method. Postoptimality Analysis. Duality Theory for the LP Problems. Non-Simplex Methods for Solving LP Problems. Optimality Conditions for LP Problems. The Quadratic Programming Problem. The Linear Complementary Problem. Discrete Optimization. Discrete Optimization Problems. Solution Approaches to Discrete Problems. Linear Programming Problems with Integral Coefficients. Integer Programming Problems. Numerical Optimization Methods. The Iterative Method. Computer Methods for Solving the Line Search Problem. Computer Methods for Finding the Search Direction. Computer Methods for Solving the Constrained Problems. Sequential Linear Programming. Sequential Quadratic Programming. References. 

A. Ravindran, K. M. Ragsdell, G. V. Reklaitis ... 688 pages - Publisher: Wiley; 2nd edition (May, 2006) ... Language: English - ISBN-10: 0471558141 - ISBN-13: 978-0471558149 ...

The classic introduction to engineering optimization theory and practice--now expanded and updated. Engineering optimization helps engineers zero in on the most effective, efficient solutions to problems. This text provides a practical, real-world understanding of engineering optimization. Rather than belaboring underlying proofs and mathematical derivations, it emphasizes optimization methodology, focusing on techniques and stratagems relevant to engineering applications in design, operations, and analysis. It surveys diverse optimization methods, ranging from those applicable to the minimization of a single-variable function to those most suitable for large-scale, nonlinear constrained problems. New material covered includes the duality theory, interior point methods for solving LP problems, the generalized Lagrange multiplier method and generalization of convex functions, and goal programming for solving multi-objective optimization problems. A practical, hands-on reference and text, Engineering Optimization, Second Edition covers: * Practical issues, such as model formulation, implementation, starting point generation, and more. * Current, state-of-the-art optimization software. * Three engineering case studies plus numerous examples from chemical, industrial, and mechanical engineering. * Both classical methods and new techniques, such as successive quadratic programming, interior point methods, and goal programming. Excellent for self-study and as a reference for engineering professionals, this Second Edition is also ideal for senior and graduate courses on engineering optimization, including television and online instruction, as well as for in-plant training.

Stephen J. Chapman ... 592 pages - Publisher: CL-Engineering; 1st edition (January, 2012) ... Language: English - ISBN-10: 0495668079 - ISBN-13: 978-0495668077 ...

MATLAB Programming with Applications for Engineers seeks to simultaneously teach MATLAB as a technical programming language while introducing the student to many of the practical functions that make solving problems in MATLAB so much easier than in other languages. The book provides a complete introduction to the fundamentals of good procedural programming. It aids students in developing good design habits that will serve them well in any other language that he or she may pick up later. Programming topics and examples are used as a jumping off point for exploring the rich set of highly optimized application functions that are built directly into MATLAB.

Slawomir Koziel, Xin-She Yang ... 284 pages - Publisher: Springer; (June, 2011) ... Language: English - ISBN-10: 3642208584 - ISBN-13: 978-3642208584 ...