Artificial Intelligence Role, Techniques, and Optimization Algorithms in Industrial-Level Applications

Abstract

Artificial Intelligence Role, Techniques, and Optimization Algorithms in Industrial-Level Applications" delves into the transformative impact of artificial intelligence (AI) in various industrial domains. This comprehensive exploration unravels the pivotal role that AI plays in optimizing processes, enhancing decision making, and automating operations across sectors such as manufacturing, logistics, healthcare, and more. The chapter offers an insightful overview of the diverse AI techniques employed in these industrial settings, including machine learning, deep learning, reinforcement learning, and natural language processing. It highlights their practical applications and showcases how these techniques are revolutionizing the industrial landscape. Moreover, the chapter introduces readers to optimization algorithms, such as genetic algorithms, particle swarm optimization, simulated annealing, and ant colony optimization, which play a vital role in finding optimal solutions to complex industrial problems. Real-world case studies are presented, demonstrating the remarkable successes achieved through the synergy of AI techniques and optimization algorithms. This chapter provides a window into the present and future of AI in industry, revealing how these technologies are reshaping productivity, quality, and efficiency while opening up new avenues for innovation