Abstract
Evolutionary computing algorithms have gained significant attention in recent years due to their ability to solve complex optimization problems in various domains. This paper provides a comprehensive review of recent advancements in evolutionary computing algorithms and their industrial applications. The objective is to analyze the state-of-the-art evolutionary computing algorithms and assess their effectiveness in addressing real-world challenges in different industrial sectors. The paper also discusses the key challenges and future directions for the integration of evolutionary computing algorithms in industrial settings.
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Chu, SC., Dao, TK., Ha, TMP., Ngo, TG., Nguyen, TT. (2024). Recent Evolutionary Computing Algorithms and Industrial Applications: A Review. In: Lin, J.CW., Shieh, CS., Horng, MF., Chu, SC. (eds) Genetic and Evolutionary Computing. ICGEC 2023. Lecture Notes in Electrical Engineering, vol 1145. Springer, Singapore. https://doi.org/10.1007/978-981-97-0068-4_46
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