Numerical and Evolutionary Optimization 2020 (MDPI - Multidisciplinary Digital Publishing Institute, 2021)
Keywords: adaptive algorithm; artificial intelligence; base excitation; chaotic perturbation; CMOS differential pair; CMOSA; CMOTA; cognitive tasks; computational fluid dynamics; constraint handling; continuation; Convolutional Neural Network; COVID-19; decision maker profile; decision making process; deep learning; density estimators; derivative-free optimization; differential evolution; drainage rehabilitation; energy central; ensemble method; evolutionary algorithms; finite volume method; fixed point arithmetic; forecasting; FP16; fully linear models; hybrid evolutionary approach; Hybrid Simulated Annealing; incorporation of preferences; JSSP; kriging method; linear programming; liquid storage tanks; LSTM; Mathematics and Science; Metropolis; Monte Carlo analysis; multi-criteria classification; Multi-Gene Genetic Programming; multi-objective evolutionary optimization; multi-objective optimization; multi-objective portfolio optimization problem; multiobjective descent; multiobjective optimization; optimization; optimization framework; optimization using preferences; outranking relationships; overflooding; Pareto Tracer; pipe breaking; profile assessment; project portfolio selection problem; protein structure prediction; pseudo random number generator; PVT variations; radial basis functions; recommender system; Reference, Information and Interdisciplinary subjects; region of interest approximation; Research and information: general; robust optimization; ROOT; steady state algorithms; structural biology; surrogate modeling; Template-Based Modeling; trapezoidal fuzzy numbers; trust region methods; usability evaluation; VCO