Advanced Data Science and Computational Intelligence (single issue)
Optimization Algorithms and Evolutionary Computing
Optimization is an integral concept employed to solve intricate decision-making and computation tasks in scientific and engineering endeavors as well as business operations and intelligent systems. With the growing number of applications requiring the analysis of large dynamic multi-dimensional data sets, it is crucial to employ sophisticated techniques to discover optimal solutions and take into account efficiency and performance issues. The approach of evolutionary computing is designed to facilitate problem-solving and provide novel solutions to computationally intensive tasks by employing concepts inspired by nature like natural selection, adaptation, and collective behavior. Such optimization techniques have already proved themselves useful in a wide range of domains ranging from machine learning to scheduling, robotics, intelligent systems, and other areas. Thus, the scope of interests for the Journal of Advanced Data Science and Computational Intelligence includes innovations in optimization methods, evolutionary algorithms, metaheuristics, swarming algorithms, and adaptive computations.