To solve the cube packing problem with time schedule, this paper first introduces some concepts such as packing level, space distance and average neighbor birth order and then proposes a greedy algorithm. The algorithm tries every feasible corner greedily to calculate the space utilization, packing ...
Rubik's Cube solver or scrambler. Usage importcs.min2phase.Search;importcs.min2phase.Tools;publicclassdemo{publicstaticvoidsimpleSolve(StringscrambledCube) {Stringresult=newSearch().solution(scrambledCube,21,100000000,0,0);System.out.println(result);// R2 U2 B2 L2 F2 U' L2 R2 B2 R2 D B2...
An Approximation Algorithm is defined as a method used to efficiently find near-optimal solutions for complex computational problems, providing a practical approach to problem-solving by balancing speed and accuracy. AI generated definition based on: Computer Science Review, 2017 About this pageSet aler...
Code for DeepCubeA, a Deep Reinforcement Learning algorithm that can learn to solve the Rubik's cube. - forestagostinelli/DeepCubeA
The RNN was proposed to solve the problem that a DNN has difficulty fitting data that changes temporally. Therefore, RNNs have played an important role in areas such as natural language processing and action recognition (Tang et al., 2018). RNNs are increasingly applied to IDS, whose data ...
In this paper, Firefly Algorithm is used to solve 3D packing of arbitrary sized heterogeneous bins into a container of standard size, by considering packing constraints namely placement constraint, overlapping constraint, stability constraint, weight constraint, load bearing constraint and orientation constr...
Many algorithms such as simulation annealing algorithm, genetic algorithm and other heuristic algorithms have been proposed to solve twodimensional and three-dimensional packing problem. To solve the cube packing problem with time schedule, this paper first introduces some concepts such as packing level,...
In the context of the deep-sea transportation supply chain, this paper addresses the complex decision-making problem of vessel allocation and carbon emission optimization for container shipping routes. A bi-level programming model is established, with the upper level aiming to minimize the total opera...
In the context of the deep-sea transportation supply chain, this paper addresses the complex decision-making problem of vessel allocation and carbon emission optimization for container shipping routes. A bi-level programming model is established, with the upper level aiming to minimize the total opera...