Evolved Machine Intelligence in Action : PLENARY TALK

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Authors: Amir H. Gandomi
Cited by: 0

Abstract

Artificial Intelligence (AI) has become a cornerstone of modern research and applications, driving solutions to increasingly complex real-world problems. This plenary presentation will highlight Evolved Machine Intelligence (EMI), an advanced branch of AI inspired by biological evolution and natural systems. EMI derives its power from adaptive mechanisms such as variation, selection, and survival of the fittest, enabling exceptional problem-solving capabilities beyond conventional approaches. The talk will begin with an overview of AI in practice, outlining its concepts, current trends, and broad impact across diverse domains. It will then focus on evolutionary intelligence techniques, with emphasis on genetic programming and its recent developments for automated learning, big data analytics, and modelling. Further, the presentation will examine the optimisation of complex and nonlinear systems, where evolutionary approaches surpass classical optimisation methods. Case studies will include large-scale structural optimisation of towers and many-objective problem-solving, demonstrating EMI’s versatility and effectiveness. The session will conclude with a discussion on hybrid heuristics that integrate with EMI to further enhance performance, illustrating how evolved machine intelligence in action delivers innovative and robust solutions to pressing challenges in modelling and optimisation.

Fields of Study & Subjects

Evolutionary Algorithms and Applications Metaheuristic Optimization Algorithms Research Artificial Intelligence Applications

Publication details

Journal / source
IEEE World Symposium on Applied Machine Intelligence and Informatics (SAMI)
Pages
000015–000016
Publication date
29 January 2026
Language
EN