Affiliation:
1. Sharda University, India
Abstract
This chapter provides a thorough insight to the dynamic field of intelligent optimization techniques in the context of business analytics. It begins by explaining the fundamental concepts of optimization, evolution of optimization techniques, tracking their evolution from traditional procedures to the emergence of intelligent optimization techniques, and their application in modern business environments. In addition, it demonstrates the integration of intelligent optimization with data analytics techniques and technologies, emphasizes the possible obstacles and ethical dilemmas to use intelligent optimization, encouraging readers to consider responsible AI use. Ultimately, it provides a perspective on the role of intelligent optimization in creating the future of business analytics, paving the way for more efficient, data-driven, and competitive organizations. This chapter is an excellent resource for researchers, practitioners, and students interested in using intelligent optimization strategies to promote innovation and success in the ever-changing field of business analytics.
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