Paquete Luнs, Zarges Christine Evolutionary Computation in Combinatorial Optimization: 20th European Conference, Evocop 2020, Held as Part of Evostar 2020, Seville, Spain, April 15- 9783030436797

Варианты приобретения

Цена: 46570.00T
Кол-во:
Наличие: Поставка под заказ. Есть в наличии на складе поставщика.
Склад Америка: 147 шт.
При оформлении заказа до: 2025-07-28
Ориентировочная дата поставки: Август-начало Сентября
При условии наличия книги у поставщика.

Добавить в корзину

в Мои желания

Автор: Paquete Luнs, Zarges Christine
Название: Evolutionary Computation in Combinatorial Optimization: 20th European Conference, Evocop 2020, Held as Part of Evostar 2020, Seville, Spain, April 15-
ISBN: 9783030436797
Издательство: Springer
Классификация:

Дискретная математика

Информационный поиск

Компьютерные сети и коммуникации

Математическая теория вычислений

ISBN-10: 3030436799
Обложка/Формат: Paperback
Страницы: 231
Вес: 0.35 кг.
Дата издания: 10.03.2020
Серия: Theoretical computer science and general issues
Язык: English
Издание: 1st ed. 2020
Иллюстрации: 46 illustrations, color; 36 illustrations, black and white; xiv, 231 p. 82 illus., 46 illus. in color.
Размер: 23.39 x 15.60 x 1.32 cm
Читательская аудитория: Professional & vocational
Подзаголовок: 20th european conference, evocop 2020, held as part of evostar 2020, seville, spain, april 15-17, 2020, proceedings
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Германии
Описание: Optimizing Prices and Periods in Time-of-use Electricity Tariff Design Using Bilevel Programming.- An Algebraic Approach for the Search Space of Permutations with Repetition.- A Comparison of Genetic Representations for Multi-Objective Shortest Path Problems on Multigraphs.- The Univariate Marginal Distribution Algorithm Copes well with Deception and Epistasis.- A Beam Search Approach to the Traveling Tournament Problem.- Cooperative Parallel SAT Local Search with Path Relinking.- Dynamic Compartmental Models for Large Multi-Objective Landscapes and Performance Estimation.- Fitness Landscape Analysis of Automated Machine Learning Search Spaces.- On the Combined Impact of Population Size and Sub-problem Selection in MOEA/D.- A Grouping Genetic Algorithm for Multi Depot Pickup and Delivery Problems with Time Windows and Heterogeneous Vehicle Fleets.- MILPIBEA: Algorithm for Multi-Objective Features Selection in (Evolving) Software Product Lines.- A Group Genetic Algorithm for Resource Allocation in Container-Based Clouds.- The Local Optima Level in Chemotherapy Schedule Optimisation.- Genetic Programming with Adaptive Search Based on the Frequency of Features for Dynamic Flexible Job Shop Scheduling.

Evolutionary Computation in Combinatorial Optimization: 20th European Conference, Evocop 2020, Held as Part of Evostar 2020, Seville, Spain, April 15-, Paquete Luнs, Zarges Christine