摘要: The application of sophisticated evolutionary computing approaches for solving complex problems with multiple conflicting objectives in science and engineering have increased steadily the recent years. Within this growing trend, Memetic algorithms are, perhaps, one most successful stories, having demonstrated better efficacy dealing multi-objective as compared to its conventional counterparts. Nonetheless, researchers are only beginning realize vast potential algorithm there remain many open topics design. This book presents a very first comprehensive collection works, written by leading field, reflects current state-of-the-art theory practice algorithms. "Multi-Objective algorithms" is organized wide readership will be valuable reference engineers, researchers, senior undergraduates graduate students who interested areas optimization.