to the terms and conditions of all three parties involved in the project. A Hybrid Genetic Algorithm (HGA) which … Algorithm (GA) and Multi-Start Iterative Improvement algorithm (MSII) are also utilized. The computational results of the three …

propose a two-layered heuristic algorithm, where the outer-layer algorithm optimizes the location decisions, and the inner …-layer algorithm constructs the links between the nodes of the network. With this algorithm, it is practical to accommodate the …

This paper offers a new algorithm to efficiently optimize scheduling decisions for dial-a-ride problems (DARPs … programming theory, aims at finding minimal user ride time schedules in polynomial time. The algorithm can either return optimal … specifically-designed heuristic. The algorithm is furthermore supplemented by a battery management algorithm that can be used to …

, to obtain an efficient algorithm. This algorithm complexity is one level lower than the algorithm without non …

Harmony search algorithm (HS) cannot always avoid being trapped in local optima, and several local search algorithms …), tabu search algorithm (TB), simulated annealing algorithm (SA), and variable neighborhood search algorithm (VNS)) with HS …

feasible solutions. We use this approach to develop a \emph{Branch and Cut} algorithm to solve the problem ….%{\color{red} Furthermore, taking advantage of the analysis, we also propose an algorithm to solve the problem that minimizes the number of … different approaches: a greedy algorithm, a constraint programming model and a column generation algorithm.}We propose two MIP …

scalable greedy heuristic forthe DCNP. In addition, a simple evolutionary algorithm with a novel representation obtained by the … comparable solution quality. Ourevolutionary algorithm finds the optimal values on most tests …