جزئیات کتاب
فرمت
جلد نرم
صفحات
395
زبان
انگلیسی
منتشر شده
Jan 27, 2023
ناشر
Springer
ISBN-10
9811680841
ISBN-13
9789811680847
توضیحات
Differential Evolution emerges as a powerful optimization technique, intertwining theoretical foundations with practical applications. This comprehensive work delves into the progression and refinement of this algorithm, illustrating its capabilities across various domains. The authors, B. Vinoth Kumar, Diego Oliva, and P. N. Suganthan, bring a wealth of expertise and insight, guiding readers through the nuanced intricacies of differential evolution.
Their exploration begins by laying the groundwork of the theory, unraveling the mathematical concepts that underpin this innovative approach. The narrative captures the evolution of the methodology, seamlessly transitioning to its practical implementations. Each chapter meticulously illustrates real-world applications, showcasing how differential evolution can solve complex problems in diverse fields such as engineering, economics, and beyond.
Readers can expect to find not only theoretical discussions but also hands-on strategies that can be applied in their own projects. The book serves as a valuable resource for both researchers and practitioners seeking to harness the full potential of differential evolution.
With an emphasis on clarity, accessibility, and relevance, this volume stands as a testament to the ongoing evolution of optimization techniques, equipping its audience with the knowledge and tools necessary for effective implementation.
Their exploration begins by laying the groundwork of the theory, unraveling the mathematical concepts that underpin this innovative approach. The narrative captures the evolution of the methodology, seamlessly transitioning to its practical implementations. Each chapter meticulously illustrates real-world applications, showcasing how differential evolution can solve complex problems in diverse fields such as engineering, economics, and beyond.
Readers can expect to find not only theoretical discussions but also hands-on strategies that can be applied in their own projects. The book serves as a valuable resource for both researchers and practitioners seeking to harness the full potential of differential evolution.
With an emphasis on clarity, accessibility, and relevance, this volume stands as a testament to the ongoing evolution of optimization techniques, equipping its audience with the knowledge and tools necessary for effective implementation.