Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems

Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems PDF Author: Andrea Lodi
Publisher: Springer
ISBN: 364213520X
Category : Computers
Languages : en
Pages : 380

Get Book Here

Book Description
This book constitutes the refereed proceedings of the 7th International Conference on Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems, CPAIOR 2010, held in Bologna, Italy, in June 2010. The 18 revised full papers and 17 revised short papers presented together with the extended abstracts of 3 invited talks were carefully reviewed and selected from 72 submissions. The papers are focused on both theoretical and practical, application-oriented issues and present current research with a special focus on the integration and hybridization of the approaches of constraint programming, artificial intelligence, and operations research technologies for solving large scale and complex real life combinatorial optimization problems.

Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems

Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems PDF Author: Andrea Lodi
Publisher: Springer
ISBN: 364213520X
Category : Computers
Languages : en
Pages : 380

Get Book Here

Book Description
This book constitutes the refereed proceedings of the 7th International Conference on Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems, CPAIOR 2010, held in Bologna, Italy, in June 2010. The 18 revised full papers and 17 revised short papers presented together with the extended abstracts of 3 invited talks were carefully reviewed and selected from 72 submissions. The papers are focused on both theoretical and practical, application-oriented issues and present current research with a special focus on the integration and hybridization of the approaches of constraint programming, artificial intelligence, and operations research technologies for solving large scale and complex real life combinatorial optimization problems.

Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems

Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems PDF Author: Carla Gomes
Publisher: Springer
ISBN: 3642381715
Category : Computers
Languages : en
Pages : 403

Get Book Here

Book Description
This volume is a compilation of the research program of the 10th International Conference on the Integration of Artificial Intelligence (AI) and Operations Research (OR) Techniques in Constraint Programming, CPAIOR 2013, held at Yorktown Heights, NY, USA, in May 2013. This volume contains 20 full papers and 11 short papers that were carefully reviewed and selected from 71 submissions. The papers focus on new techniques or applications in the intersection of constraint programming (CP), artificial intelligence (AI) and operations research (OR).

Combinatorial Optimization and Applications

Combinatorial Optimization and Applications PDF Author: Teodor Gabriel Crainic
Publisher: Springer Nature
ISBN: 3031576039
Category :
Languages : en
Pages : 506

Get Book Here

Book Description


Computational Intelligence and Decision Making

Computational Intelligence and Decision Making PDF Author: Ana Madureira
Publisher: Springer Science & Business Media
ISBN: 9400747225
Category : Technology & Engineering
Languages : en
Pages : 493

Get Book Here

Book Description
This book provides a general overview and original analysis of new developments and applications in several areas of Computational Intelligence and Information Systems. Computational Intelligence has become an important tool for engineers to develop and analyze novel techniques to solve problems in basic sciences such as physics, chemistry, biology, engineering, environment and social sciences. The material contained in this book addresses the foundations and applications of Artificial Intelligence and Decision Support Systems, Complex and Biological Inspired Systems, Simulation and Evolution of Real and Artificial Life Forms, Intelligent Models and Control Systems, Knowledge and Learning Technologies, Web Semantics and Ontologies, Intelligent Tutoring Systems, Intelligent Power Systems, Self-Organized and Distributed Systems, Intelligent Manufacturing Systems and Affective Computing. The contributions have all been written by international experts, who provide current views on the topics discussed and present recent, original insights from their own experience in these fields.

Combinatorial Optimization Under Uncertainty

Combinatorial Optimization Under Uncertainty PDF Author: Ritu Arora
Publisher: CRC Press
ISBN: 1000859819
Category : Business & Economics
Languages : en
Pages : 221

Get Book Here

Book Description
This book discusses the basic ideas, underlying principles, mathematical formulations, analysis and applications of the different combinatorial problems under uncertainty and attempts to provide solutions for the same. Uncertainty influences the behaviour of the market to a great extent. Global pandemics and calamities are other factors which affect and augment unpredictability in the market. The intent of this book is to develop mathematical structures for different aspects of allocation problems depicting real life scenarios. The novel methods which are incorporated in practical scenarios under uncertain circumstances include the STAR heuristic approach, Matrix geometric method, Ranking function and Pythagorean fuzzy numbers, to name a few. Distinct problems which are considered in this book under uncertainty include scheduling, cyclic bottleneck assignment problem, bilevel transportation problem, multi-index transportation problem, retrial queuing, uncertain matrix games, optimal production evaluation of cotton in different soil and water conditions, the healthcare sector, intuitionistic fuzzy quadratic programming problem, and multi-objective optimization problem. This book may serve as a valuable reference for researchers working in the domain of optimization for solving combinatorial problems under uncertainty. The contributions of this book may further help to explore new avenues leading toward multidisciplinary research discussions.

Combinatorial Optimization Problems: Quantum Computing

Combinatorial Optimization Problems: Quantum Computing PDF Author: N.B. Singh
Publisher: N.B. Singh
ISBN:
Category : Computers
Languages : en
Pages : 775

Get Book Here

Book Description
"Combinatorial Optimization Problems: Quantum Computing" is an introductory guide that bridges the gap between combinatorial optimization and quantum computing for absolute beginners. This book unpacks fundamental concepts in optimization and explores how quantum computing can revolutionize the way we approach complex problems. Through clear explanations and relatable examples, readers will gain an understanding of both fields without needing any prior knowledge of quantum mechanics or advanced mathematics. Ideal for those curious about the future of technology, this book serves as a stepping stone into the fascinating world of quantum algorithms and their applications in optimization.

Optimization for Decision Making II

Optimization for Decision Making II PDF Author: Víctor Yepes
Publisher: MDPI
ISBN: 3039436074
Category : Technology & Engineering
Languages : en
Pages : 300

Get Book Here

Book Description
In the current context of the electronic governance of society, both administrations and citizens are demanding the greater participation of all the actors involved in the decision-making process relative to the governance of society. This book presents collective works published in the recent Special Issue (SI) entitled “Optimization for Decision Making II”. These works give an appropriate response to the new challenges raised, the decision-making process can be done by applying different methods and tools, as well as using different objectives. In real-life problems, the formulation of decision-making problems and the application of optimization techniques to support decisions are particularly complex and a wide range of optimization techniques and methodologies are used to minimize risks, improve quality in making decisions or, in general, to solve problems. In addition, a sensitivity or robustness analysis should be done to validate/analyze the influence of uncertainty regarding decision-making. This book brings together a collection of inter-/multi-disciplinary works applied to the optimization of decision making in a coherent manner.

Computational Sustainability

Computational Sustainability PDF Author: Jörg Lässig
Publisher: Springer
ISBN: 3319318586
Category : Technology & Engineering
Languages : en
Pages : 277

Get Book Here

Book Description
The book at hand gives an overview of the state of the art research in Computational Sustainability as well as case studies of different application scenarios. This covers topics such as renewable energy supply, energy storage and e-mobility, efficiency in data centers and networks, sustainable food and water supply, sustainable health, industrial production and quality, etc. The book describes computational methods and possible application scenarios.

Local Search in Combinatorial Optimization

Local Search in Combinatorial Optimization PDF Author: Emile H. L. Aarts
Publisher: Princeton University Press
ISBN: 9780691115221
Category : Computers
Languages : en
Pages : 530

Get Book Here

Book Description
1. Introduction -- 2. Computational complexity -- 3. Local improvement on discrete structures -- 4. Simulated annealing -- 5. Tabu search -- 6. Genetic algorithms -- 7. Artificial neural networks -- 8. The traveling salesman problem: A case study -- 9. Vehicle routing: Modern heuristics -- 10. Vehicle routing: Handling edge exchanges -- 11. Machine scheduling -- 12. VLSI layout synthesis -- 13. Code design.

Computational Intelligence for Water and Environmental Sciences

Computational Intelligence for Water and Environmental Sciences PDF Author: Omid Bozorg-Haddad
Publisher: Springer Nature
ISBN: 9811925194
Category : Technology & Engineering
Languages : en
Pages : 547

Get Book Here

Book Description
This book provides a comprehensive yet fresh perspective for the cutting-edge CI-oriented approaches in water resources planning and management. The book takes a deep dive into topics like meta-heuristic evolutionary optimization algorithms (e.g., GA, PSA, etc.), data mining techniques (e.g., SVM, ANN, etc.), probabilistic and Bayesian-oriented frameworks, fuzzy logic, AI, deep learning, and expert systems. These approaches provide a practical approach to understand and resolve complicated and intertwined real-world problems that often imposed serious challenges to traditional deterministic precise frameworks. The topic caters to postgraduate students and senior researchers who are interested in computational intelligence approach to issues stemming from water and environmental sciences.