Coevolutionary Computation and Its Applications
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Beschreibung
This book introduces the fundamentals of Coevolutionary Computation and presents new methodologies that are developed and then employed for modern real-world problem-solving in various applications across different domains. It is structured in three main parts to support the anticipated general and frequent usage of the book. In particular, the reader is able to obtain a quick and general introduction on the principles of coevolution in Part I, and then go over in detail the specifics how coevolutionary principles are exploited and applied to solve specific problems in the relevant chapters of Parts II and III. In this manner, Part I will introduce the fundamentals in Coevolutionary Computation with no assumption made on familiarity with Evolutionary Computation literature. These fundamentals include key concepts and operational principles of both evolutionary and coevolutionary processes that are modelled as iterative algorithms and systems implementable in computing machines. Parts II and III contain various applications of coevolution to problems that are framed in the context of optimization and learning, respectively. Detailed procedural implementations are provided for those methodologies as well as analysis that highlight the improvements they bring about over conventional techniques.
This book introduces the fundamentals of Coevolutionary Computation and presents new methodologies that are developed and then employed for modern real-world problem-solving in various applications across different domains. It is structured in three main parts to support the anticipated general and frequent usage of the book. In particular, the reader is able to obtain a quick and general introduction on the principles of coevolution in Part I, and then go over in detail the specifics how coevolutionary principles are exploited and applied to solve specific problems in the relevant chapters of Parts II and III. In this manner, Part I will introduce the fundamentals in Coevolutionary Computation with no assumption made on familiarity with Evolutionary Computation literature. These fundamentals include key concepts and operational principles of both evolutionary and coevolutionary processes that are modelled as iterative algorithms and systems implementable in computing machines. Parts II and III contain various applications of coevolution to problems that are framed in the context of optimization and learning, respectively. Detailed procedural implementations are provided for those methodologies as well as analysis that highlight the improvements they bring about over conventional techniques.
New advancements to better understand coevolutionary principles including arms-race dynamics for problem-solving Showcases how coevolutionary principles are used develop new problem-solving methodologies in various domains Applications of coevolution for modern problem-solving in optimization and learning
Autor*in
Xin Yao
Themen in »Coevolutionary Computation and Its Applications«
Coevolutionary Computation Evolutionary Computation Coevolution Optimization Coevolutionary Learning
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"The book’s main strength lies in its ability to unify theoretical foundations, algorithmic frameworks, and applied problem-solving. ... Coevolutionary Computation and Its Applications is a significant contribution, it synthesizes more than a decade of advances ... into a cohesive and highly informative volume. ... For researchers in Genetic Programming and Evolvable Machines and the wider evolutionary computation community, this landmark work defines the current state of the art and will guide the next generation of coevolutionary research." (Jamal Toutouh, Genetic Programming and Evolvable Machines, Vol. 27 (1), 2026)
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