One of the well-known evolutionary algorithms inspired by biological evolution is genetic algorithm (GA) that is employed as a robust and global optimization tool to search for the best or near-optimal solution with the search space. In this paper, this algorithm is used to solve unequalsized machines (or intra-cell) layout problems considering pick-up and drop-off (input/output) points. Such p...

In this paper, the gain in LD-CELP speech coding algorithm is predicted using three neural models, that are equipped by genetic and particle swarm optimization (PSO) algorithms to optimize the structure and parameters of neural networks. Elman, multi-layer perceptron (MLP) and fuzzy ARTMAP are the candidate neural models. The optimized number of nodes in the first and second hidden layers of El...

The complex effect of genetic algorithm’s (GA) operators and parameters to its performance has been studied extensively by researchers in the past but none studied their interactive effects while the GA is under different problem sizes. In this paper, We present the use of experimental model (1) to investigate whether the genetic operators and their parameters interact to affect the offline per...

This paper presents numerical simulation results of an airflow inclinometer with sensitivity studies and thermal optimization of the printed circuit board (PCB) layout for an airflow inclinometer based on a genetic algorithm (GA). Due to the working principle of the gas sensor, the changes of the ambient temperature may cause dramatic voltage drifts of sensors. Therefore, eliminating the influe...

Heart disease is a leading cause of death worldwide, and the need for effective predictive systems major source to treat affected patients. This study aimed determine how improve accuracy Random Forest in predicting classifying heart disease. The experiments performed this were designed select most optimal parameters using an RF optimization technique GA. Genetic Algorithm (GA) used optimize pr...

aPublic Health Institute, Oakland, CA bEmory University, Atlanta, GA cGeorgia State University, Department of Public Management and Policy, Atlanta, GA dGeorgia State University, Georgia Health Policy Center, Atlanta, GA eUniversity of California San Francisco Benioff Children’s Hospital Oakland, Oakland, CA fCalifornia Department of Public Health, Genetic Disease Screening Program, Richmond, C...

in this paper proposes a fuzzy multi-objective hybrid genetic and bee colony optimization algorithm(ga-bco) to find the optimal restoration of loads of power distribution network under fault.restoration of distribution systems is a complex combinatorial optimization problem that should beefficiently restored in reasonable time. to improve the efficiency of restoration and facilitate theactivity...