using a genetic algorithm to maximize final score prediction accuracy for a certain number of moves. We selected shapes for …

CO2 emissions. Methods: We propose a novel demography-weighted combinatorial optimization model utilizing a genetic … algorithm and the Lin-Kernighan heuristic. The model is tested with real data simulations to evaluate its performance. Results …

and variables. We propose a novel application of the Genetic Algorithm (GA) to efficiently identify pertinent main and …

-objective optimization by integrating the equilibrium optimizer (EO) as an initial solutions generator, Non-dominated sorting genetic … algorithm II (NSGA-II), and simulation techniques. The algorithm's effectiveness is validated by showcasing specific instances …

in CM using the non-dominated sorting genetic algorithm II (NSGA-II) to minimize delays, reduce makespan, and decrease …