Evolutionary Algorithms and Large-Scale Real-World Applications

Dear Colleagues,

In the last decade, computational intelligence and, specifically, evolutionary computing research have witnessed exponential growth in terms of the strong pressure to search for and reinvent new optimization techniques based on nature-inspired phenomena. Similarly, we have also recently witnessed increased research efforts dedicated to addressing several complex real-world problems of either single-objective or multi-objective optimization orientation by using diverse evolutionary search strategies. However, despite the recorded success of these efforts in solving wide-ranging large-scale optimization problems, there is still a wide gap between the variety of application problems that have been addressed in the literature and those encountered in real life, which are significant for solving practical problems in science, medicine, and engineering. Moreover, due to the practical relevance of large-scale optimization problems, computationally efficient and effective evolutionary algorithms for solving such optimization problems are in high demand.

The Special Issue targets novel work that addresses recent advances in the following topics: theoretical analysis of evolutionary algorithms; evolutionary computation theory; evolutionary deep learning; hybrid evolutionary approaches; neuro-evolutionary systems; target-driven visual navigation; evolutionary algorithms for self-driving cars; parallel evolutionary algorithms; GPU implementation of evolutionary algorithms; target-driven visual navigation; evolutionary learning algorithms; neural architecture search; extreme learning machines; and few-shot learning, etc.

Therefore, in this Special Issue, we aim to promote discussions around recent efforts and advances in large-scale real-world applications of evolutionary algorithms to tackle challenging practical optimization problems. We encourage explorations of theory, applied research on the advancement of evolutionary algorithms, surveys, and comprehensive literature reviews.

Dr. Absalom Ezugwu
Dr. Haruna Chiroma
Dr. Laith Abualigah
Prof. Dr. Roberto A. Vazquez
Guest Editors

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