The solution tree is traversed depth-first, with the length of the current shortest route as the upper bound for future solutions. For example, after A→B→C→D→E→A is examined, the upper bound is 21, and after the next route is explored, the bound drops to 15. Every time a parti...
The base model of this work, which is referred to as the Inbound and Outbound Truck Scheduling Problem at the Crossdock Terminals (IOTSP) has been first proposed in Dulebenets (2021a). In the following, we first revisit this model and highlight an existing flaw in it and present the ...
Branch-and-bound and weight- combination search algorithms for the total completion time problem with step-deteriorating jobs. J Opl Res Soc 60: 1759-1766.He C C, Wu C C, Lee W C. Branch-and-Bound and Weight- Combination Search Algorithms for the Total Completion Time Problem with Step-...
All Workers have a group reference on all the others. The next figure show step by step how a Task can share a new better solution with all: Figure 18.2. Broadcasting a new solution. Finally, the methods order execution: rootTask.initLowerBound(); // compute a first lower bound rootTask...
1.2 ˛BB method The αBB-method suggested by [1] is an example of a deterministic constrained programming algorithm that aims at the determination of a globally optimal solution. It can be interpreted as a geometric branch-and-bound algorithm that discards subregions of the feasible set (...
This study presents an efficient branch and bound algorithm for globally solving the minimax fractional programming problem (MFP). By introducing an auxiliary variable, an equivalent problem is firstly constructed and the convex relaxation programming problem is then established by utilizing convexity and ...
This guide is not intended to be a step-by-step “how to” guide for deploying Cisco Catalyst SD-WAN, although enough details are provided for the reader to understand what features and configurations are required on the WAN Edge routers and control components. All use cases and feature combi...
Nested branch-and-bound algorithm to solve two-dimensional orthogonal packing problems - GitHub - ktnr/TwoStepBranchingProcedure: Nested branch-and-bound algorithm to solve two-dimensional orthogonal packing problems
Numerical experiments show that the branch-and-bound algorithm is efficient and the heuristic algorithm developed based on the analytical properties outruns the tabu search. Keywords: scheduling; single machine; resource allocation; group technology; due-date assignment MSC: 90B35...
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