Problem-specific heuristicArtificial bee colony algorithmNeighborhood strategiesA rainbow spanning forest (say RF) of a given connected, undirected and edge-colored graph (G) is a spanning forest of a set of rainbow components, where a rainbow component is a tree whose edges have different colors....
HeuristicsVehicle routing problemProblem-specific knowledgeWe define several metrics to characterize both a VRP solution and a VRP instance, and generate and classify 192.000 solutions for various instances. With these metrics we are able to distinguish between optimal and non-optimal solutions with an ...
[37] proposed an iterated greedy algorithm (IG) with several problem-specific heuristics. To speed up the initialization process of the same problem, they employed the extreme gradient boosting method to adaptively select the appropriate constructive algorithms [36]. The problem related to the ORPP...
Computational experiments, utilizing 420 instances, demonstrate the effectiveness and scalability of our heuristics, notably those tailored to specific problem variants, achieving an average gap of 2.2%. Our work underscores the effectiveness of leveraging approximation algorithms for the uncapacitated IRP, ...
p style=text-align: justify class=MsoNormalWe built on the Economic Lot Scheduling Problem Scheduling (ELSP) literature by making some modifications in order to introduce new constraints which had not been thoroughly studied with a view to simulating specific real situations. Specifically, our aim ...
The existing heuristic methods for classic 3D bin packing don't work well for this particular NP-hard problem and designing a good problem-specific heuristic is non-trivial. In this paper, rather than designing heuristics, we propose a novel multi-task framework based on Selected Learning to ...
Specific observation: Sally is awatchmaker. Deductive conclusion: Sally needs glasses. We use this kind of tree when we know a lot about the logical structure of a problem, and especially when the cleaving frame is inherently mathematical. ...
Understanding the problem-solving process is crucial to developing a plan of action. Use these problem-solving strategies to streamline your process.
(GGAs) are robust tools to optimize this well-known problem when the conventional exact solution methods tend to fail. Although GGAs work well in combination with the problem specific heuristics, they do not make best use of the abilities of the multi-core processors. This paper reports the ...
In view of the availability of a large variety of problem-specific heuristics, the key question concerning the selection of a particular heuristic has been posed in the literature in recent years. This leads to the motivation of using hyper-heuristics for tackling such problem, which is the ...