Natural disasters disrupt the connectivity of road networks by blocking segments, which impedes efficient distribution relief materials to affected area. We study problem finding coordinated paths for clearing teams so that network is regained in shortest time. provide an novel heuristic algorithm this problem. In our algorithm, first pre-processed define a binary generate initial solutions, an...

Integrated production-distribution planning (PDP) is one of the most important approaches in supply chain networks. We consider a supply chain network (SCN) to consist of multi suppliers, plants, distribution centers (DCs), and retailers. A bi-objective mixed integer linear programming model for integrating production-distribution designed here aim to simultaneously minimize total net costs in ...

one of the most important and valuable goal of software development life cycle is software cost estimation or sce. during the recent years, sce has attracted the attention of researchers due to huge amount of software project requests. there have been proposed so many models using heuristic and meta-heuristic algorithms to do machine learning process for sce. cocomo81 is one of the most popular...

assigning facilities to locations is one of the important problems, which significantly is influence in transportation cost reduction. in this study, we solve quadratic assignment problem (qap), using a meta-heuristic algorithm with deterministic tasks and equality in facilities and location number. it should be noted that any facility must be assign to only one location. in this paper, first o...

Semidefinite Programming (SDP) is a powerful technique to compute tight lower bounds for Optimal Power Flow (OPF) problems. Even using clique decomposition techniques, semidefinite relaxations are still computationally demanding. However, there many different decompositions the same SDP problem and they not equivalent in terms of computation time. In this paper, we propose new strategy efficien...

In this paper, we address two key aspects of solving methods based on tree-decomposition. First, we propose an algorithm computing decompositions that allows to bound the size of separators, which is a crucial parameter to limit the space complexity, and thus the feasibility of such methods. Moreover, we show how it is possible to dynamically modify the considered decomposition during the searc...

Increasing fuel costs, post-911 security concerns, and economic globalization provide a strong incentive for container carriers to use available container space more efficiently, thereby minimizing the number of container trips and reducing socio-economic vulnerability. A heuristic algorithm based on a tertiary tree model is proposed to handle the container loading problem (CLP) with weakly het...