the variable by OD pairs and solve them sequentially. In this paper, we present an innovative path-based algorithm that … nonadditive path cost. In order to enhance the algorithm's performance, we utilize the Quasi-Newton and pattern search methods to … improve the precision of the search direction and step size. Furthermore, the proposed algorithm is incorporated into the …

obtained near-optimal solutions. In the present study, a gradient-descent algorithm was devised to solve the TNDP after … proposed gradient-based algorithm outperformed “state-of-the-art” metaheuristics in both accuracy and efficiency …

proposed model can be solved efficiently with a branch-and-cut algorithm available in most commercial MIP solvers. Our model is …

Are people algorithm averse, as some previous literature indicates? If so, can the retention of human oversight … made. In line with automation bias, participants adjust the recommendations that stem from an algorithm by less than those …

Optimization Algorithm (IBOA). A neighborhood energy management system (NEMS) is established in the second stage based on a … consensus algorithm. A group of four smart buildings is used as a test system to evaluate the effectiveness of the suggested …) algorithm and W/O scheduling cases. With applying GWO, the total electricity cost, peak load, PAR, and waiting time are improved …

This study proposes a modified Particle Swarm Optimization (PSO) algorithm based on Hummingbird Flight (HBF) patterns … suites is conducted to verify the effectiveness of the proposed PSO-HBF algorithm. The proposed algorithm is also evaluated … demonstrated that the PSO-HBF algorithm is superior to seven other modified algorithms, improving eight and ten functions on the …

challenge for WNNs' initialization. The cuckoo search algorithm (CSA) is used in this study for optimizing WNNs. The position of …