TY - GEN digital ID - 131518598 TI - Evolutionary Computation for Dynamic Optimization Problems AU - Yang, Shengxiang AU - Yao, Xin PY - 2013 SN - 9783642384165 PB - Berlin, Heidelberg Springer DB - UniCat KW - Applied physical engineering KW - Artificial intelligence. Robotics. Simulation. Graphics KW - neuronale netwerken KW - fuzzy logic KW - cybernetica KW - KI (kunstmatige intelligentie) KW - ingenieurswetenschappen KW - robots KW - AI (artificiële intelligentie) UR - https://www.unicat.be/uniCat?func=search&query=sysid:131518598 AB - This book provides a compilation on the state-of-the-art and recent advances of evolutionary computation for dynamic optimization problems. The motivation for this book arises from the fact that many real-world optimization problems and engineering systems are subject to dynamic environments, where changes occur over time. Key issues for addressing dynamic optimization problems in evolutionary computation, including fundamentals, algorithm design, theoretical analysis, and real-world applications, are presented. "Evolutionary Computation for Dynamic Optimization Problems" is a valuable reference to scientists, researchers, professionals and students in the field of engineering and science, particularly in the areas of computational intelligence, nature- and bio-inspired computing, and evolutionary computation. ER -