Handbook of Heuristics by Rafael Martí, Panos M. Pardalos, Mauricio G. C. Resende ISBN 9783032003843, 3032003849 instant download

Handbook of Heuristics by Rafael Martí, Panos M. Pardalos, Mauricio G. C. Resende ISBN 9783032003843, 3032003849 instant download

The second edition will comprise at least 15 new chapters surrounding methodologies and applications. As a start, the following new topics were proposed: Methodologies: Automatic algorithm selection, Automatic algorithm tuning, Machine learning, Path Relinking, Simulated annealing, Quantum computing. Applications: Airline optimization, Artificial intelligence, Cloud computing, Electrical power systems, Finance, Order batching, Pharmaceutical, Production, Vehicle routing. Additionally, authors of existing 'chapters' will be contacted to encourage them to revise/update their entries. **From the first edition** Heuristics are strategies using readily accessible, loosely applicable information to control problem solving. Algorithms, for example, are a type of heuristic. By contrast, Metaheuristics are methods used to design Heuristics and may coordinate the usage of several Heuristics toward the formulation of a single method. GRASP (Greedy Randomized Adaptive Search Procedures) is an example of a Metaheuristic. To the layman, heuristics may be thought of as 'rules of thumb' but despite its imprecision, heuristics is a very rich field that refers to experience-based techniques for problem-solving, learning, and discovery. Any given solution/heuristic is not guaranteed to be optimal but heuristic methodologies are used to speed up the process of finding satisfactory solutions where optimal solutions are impractical. The introduction to this Handbook provides an overview of the history of Heuristics along with main issues regarding the methodologies covered. This is followed by Chapters containing various examples of local searches, search strategies and Metaheuristics, leading to an analyses of Heuristics and search algorithms. The reference concludes with numerous illustrations of the highly applicable nature and implementation of Heuristics in our daily life. Each chapter of this work includesan abstract/introduction with a short description of the methodology. Key wor