Evolutionary Computation in Scheduling

Evolutionary Computation in Scheduling

Amir H. Gandomi , Ali Emrouznejad , Mo M. Jamshidi
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Jan 1, 2020 · Anglais · Kindle (347 pages)
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Détails du livre

Format Kindle
Pages 347
Langue Anglais
Publié Jan 1, 2020
Éditeur Wiley
Édition 1
ISBN-10 1119573874
ISBN-13 9781119573876

Description

This comprehensive work delves into the rapidly advancing field of evolutionary computation in scheduling, offering insightful perspectives from renowned experts. The authors, who are distinguished figures in their respective areas, explore the innovative methodologies that harness evolutionary algorithms to address complex scheduling challenges.

The discussion extends beyond theoretical concepts, presenting practical applications that showcase the effectiveness of these algorithms in real-world scenarios. Readers are introduced to a variety of case studies that illustrate the successful implementation of evolutionary scheduling, providing valuable insights into the problem-solving capabilities of these methods.

In addition, this text serves as a vital resource for researchers and practitioners alike, equipping them with the latest advancements and trends in the field. By bridging the gap between theory and application, it paves the way for future exploration and development, making it an essential contribution to the literature on computational intelligence.
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