Computational intelligence has undergone a revolutionary transformation, marked by the integration of evolutionary algorithms into its framework. This paradigm shift, often referred to as the Evolutionary Revolution, has significantly enhanced the capabilities of artificial intelligence systems. This article explores the key aspects of this revolution, highlighting the principles of evolutionary algorithms, their applications across diverse domains and the impact on the field of computational intelligence. We delve into the synergy between evolutionary computation and traditional machine learning methods, examining how this fusion has unlocked new possibilities and paved the way for more robust and adaptable intelligent systems. The Evolutionary Revolution is not only reshaping the landscape of artificial intelligence but also offering novel solutions to complex problems in areas such as optimization, pattern recognition and decision-making.
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Global Journal of Technology and Optimization received 847 citations as per Google Scholar report
