Amir H. Gandomi

TL;DR: A new global optimization algorithm, the interior search algorithm (ISA), is introduced for solving engineering optimization problems and the optimal solutions obtained are better than the best solutions obtained by the other methods representative of the state-of-the-art in optimization algorithms.

TL;DR: In this paper, new numerical models are developed to predict the strength of concrete under multiaxial compression using linear genetic programming (LGP) based on a comprehensive database obtained from the literature.

TL;DR: This paper tested 18 evolutionary many-objective algorithms against well-known combinatorial optimization problems, including knapsack problem, traveling salesman problem, and quadratic assignment problem (mQAP), all up to 10 objectives to show some of the promising algorithms to tackle MOKP and MOTSP with 5 and 10 while increasing the number of objectives.

TL;DR: A load prediction based alertness approach has been introduced to reduce the burden of the controllers and create an additional delay for the initial packets of the flow entry that lead to more prediction error.

TL;DR: This paper demonstrates the implementation of R-CNN in terms of electromyography-related signals to recognize hand gestures using electrodes situated on the forearm and the biomedical signals are generated to perform the signals preprocessing using wavelet packet transform to performs the feature extraction.