How to Solve It_Modern Heuristics，启发式解决方法，欢迎下载

Handbook of Metaheuristics 第二版

启发式算法设计与实现 ISBN: 978-0-470-27858-1 Hardcover 624 pages June 2009 This book provides a complete background on metaheuristics and shows readers how to design and implement efficient algorithms to solve complex optimization problems across a diverse range of applications, from networking and bioinformatics to engineering design, routing, and scheduling. It presents the main design questions for all families of metaheuristics and clearly illustrates how to implement the algorithms under a software framework to reuse both the design and code. Throughout the book, the key search components of metaheuristics are considered as a toolbox for: Designing efficient metaheuristics (e.g. local search, tabu search, simulated annealing, evolutionary algorithms, particle swarm optimization, scatter search, ant colonies, bee colonies, artificial immune systems) for optimization problems Designing efficient metaheuristics for multi-objective optimization problems Designing hybrid, parallel, and distributed metaheuristics Implementing metaheuristics on sequential and parallel machines Using many case studies and treating design and implementation independently, this book gives readers the skills necessary to solve large-scale optimization problems quickly and efficiently. It is a valuable reference for practicing engineers and researchers from diverse areas dealing with optimization or machine learning; and graduate students in computer science, operations research, control, engineering, business and management, and applied mathematics.

全书共11章，总结出了60多条面向对象设计(ood)的指导原则。这些经验原则涵盖了从类到对象(主要强调它们之间的关系，包括关联、使用、包含、单继承、多继承)到面向对象物理设计的重要主题。《ood启思录》将帮助你理解经验原则和“设计模式”这一流行概念之间的相互作用。你可以借助经验原则发现设计中所存在的某一方面的问题，而设计模式则提供了解决方案。