practice. In this paper, we are proposing a hierarchical data-driven parallel memetic algorithm to solve the problem. A … algorithm has its own local elite set. Collaboration among parallel memetic algorithms is allowed, and a shared elite set is … created as a result. The main algorithm has multiple restarts, and a global elite set is maintained between those restarts …

Imperialist Competitive Algorithm (ICA) to deal with the TTP as a whole and solve its two components simultaneously. 30 TTP … instances with the Bounded Strongly Correlated (BSC) type. Moreover, ICA was the second-best algorithm in the other five cases …

provides an effective feature correlation mechanism for both the clustering strategy and algorithm design aiming at the …, a multi-objective evolutionary algorithm based on decompose combined with feature correlation mechanism (FC-MOEA/D) is … FC-MOEA/D algorithm. We also further discuss the relevant strategies for different reposition quality preferences and how …

“Construct, Merge, Solve & Adapt” (CMSA) is applied in two different ways to solve the tackled problem. The two algorithm … performances are compared with probabilistic implementations of two constructive heuristics, a Clark & Wright Savings algorithm …, and a sequential insertion heuristic. In addition, the proposed algorithm was tested on a reduced version of the problem …

, transportation, and inventory costs. The model was solved using an improved Benders-and-Price algorithm that combines Benders … decomposition and the branch-and-price algorithm. The MPARPTW model was decomposed into a lot-sizing Benders-master (BM) model and a … demonstrated the significance of the proposed model and algorithm in providing support to plant managers in making decisions or …

important role in operation research. A variable neighborhood search (VNS) enhance genetic algorithm (VNSeGA) is presented to … minimize makespan of FJSP in this paper. In VNSeGA, genetic algorithm (GA) is used for the global exploration and VNS module …

nodes in the traditional star algorithm when planning paths, the angle constraint, the way guide strategy, and the path … search step size of the A star algorithm are improved. Firstly, the angle constraint of the evaluation function is introduced … algorithm. The simulation experiment results show that the improved star algorithm can quickly plan a smooth path with short …

) formulation to find optimal solutions to the problem. The paper also proposes a new heuristic called the multi-trip algorithm for …

(CVRPTW). To solve this problem, we propose a novel branch-and-price-and-cut (BPC) algorithm based on the trip-based set … partitioning model, in which the linear relaxation sub-problem is solved by a two-phase column generation (CG) algorithm. First, a … label-setting algorithm is used to generate feasible paths, and then the proposed strategy is used to find a time point that …

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 …