decomposition algorithm. Then, we present a hybrid genetic algorithm that uses the Dijkstra algorithm to evaluate solutions. Next …, we present a hybrid variable neighborhood search algorithm that uses the Dijkstra algorithm to calculate the cost of each … solution. Also, a relax-and-fix algorithm is proposed to find near-optimal feasible solutions for the problem. Computational …

algorithm to solve the routing problem in the urban multi-modal network. The multi-modal network problem considered in this … Algorithm-II (NSGA-II) algorithms are used to evaluate and compare the results from the CBMODPSO algorithm. In addition …, CBMODPSO results are compared with previous research results. We show the improved algorithm is more repeatable than other …

cost of the hybrid system. A new model of the Elephant Herding Optimization (BEHO) Algorithm is utilized to solve the multi …

Grouping Genetic Algorithm (GGA) framework with several operators and population management variants. A Bayesian Optimization …

), and Tabu Search (TS). The results show that the PSO algorithm achieves the highest median accuracy and F1-Score and is the …

intelligent algorithm based on particle swarm optimization (PSO) and adaptive differential evolution (ADE) is proposed to address … this complex problem. Numerical experiments verified the effectiveness of the proposed two-stage PSO-ADE algorithm. A …

-convexity nature of the solution space motivates us to focus on the population-based meta-heuristic algorithm, i.e. Genetic Algorithm … implements the algorithm and compares it with the greedy-based random placement approach, varying the number of IoT applications …

Optimization Algorithm (WOA), and Ant Lion Optimizer (ALO) are compared to resolve large-scale problems by considering a sorting …