M. Gendreau – Handbook of Metaheuristics (Second edition)
1.785 ₽
Автор: M. Gendreau
Название книги: Handbook of Metaheuristics (Second edition)
Формат: PDF
Жанр: Экономические дисциплины
Страницы: 669
Качество: Изначально компьютерное, E-book
The rst edition of the Handbook of Metaheuristics was published in 2003 under the editorship of Fred Glover and Gary A. Kochenberger. Given the numerous – velopments observed in the eld of metaheuristics in recent years, it appeared that the time was ripe for a second edition of the Handbook. For different reasons, Fred and Gary were unable to accept Springer’s invitation to prepare this second e- tion and they suggested that we should take over the editorship responsibility of the Handbook. We are deeply honored and grateful for their trust. As stated in the rst edition, metaheuristics are “solution methods that orch- trate an interaction between local improvement procedures and higher level stra- gies to create a process capable of escaping from local optima and performing a robust search of a solution space. ” Although this broad characterization still holds today, many new and exciting developments and extensions have been observed in the last few years. We think in particular to hybrids, which take advantage of the strengths of each of their individual metaheuristic components to better explore the solution space. Hybrids of metaheuristics with other optimization techniques, like branch-and-bound, mathematical programming or constraint programming are also increasingly popular. On the front of applications, metaheuristics are now used to nd high-quality solutions to an ever-growing number of complex, ill-de ned re- world problems, in particular combinatorial ones.
Описание
Handbook of Metaheuristics (Second edition) — это фундаментальный справочник по метаэвристическим алгоритмам, которые широко применяются для решения сложных оптимизационных задач в бизнесе, логистике, производстве и экономике.
В книге подробно рассматриваются основные классы метаэвристик: генетические алгоритмы, имитация отжига, табу-поиск, муравьиные колонии, эволюционные стратегии, метод роя частиц и многие другие. Авторы объясняют теоретические основы каждого подхода, приводят практические рекомендации по реализации и настройке, а также анализируют сильные и слабые стороны методов в различных условиях.
- специалистам по исследованию операций и оптимизации;
- аналитикам данных и разработчикам алгоритмов;
- студентам и преподавателям направлений «Прикладная математика», «Информатика» и «Бизнес-аналитика»;
- практикам, решающим NP-трудные задачи в логистике, планировании и управлении ресурсами.
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