【摘 要】
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Inspired by the behavior, experience, and cognition from nature and society systems, in-telligent optimization aims to achieve satisfactory results effectively
【机 构】
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Tsinghua University,Beijing,China;Huazhong University of Science and Technology,Wuhan,China;Universi
论文部分内容阅读
Inspired by the behavior, experience, and cognition from nature and society systems, in-telligent optimization aims to achieve satisfactory results effectively and efficiently. Based on the mechanisms of computational intelligence, intelligent optimization algo-rithms have been successfully applied to solve the complex problems with various com-plexities in many engineering fields. With the development of artificial intelligence and knowledge engineering, increasing attention is being paid to theoretical analysis, algo-rithm design, and performance improvement of intelligent optimization as well as a wide range of applications especially scheduling problems. Intelligent optimization and scheduling theory, algorithms and applications have already become frontier researches full of both opportunities and challenges.
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