Artificial Intelligence for Blokus Classic using Heuristics, FloodFill, and Greedy AlgorithmHong Liang CaiSebastian AldiWinston Renatan
With the development of artificial intelligence, path planning of Autonomous Mobile Robot (AMR) has been a research hotspot in recent years. This paper proposes the improved A* algorithm combined with the greedy algorithm for a multi-objective path planning strategy. Firstly, the evaluation function...
In this tutorial, we will learn about the introduction of greedy strategy, algorithm for greedy strategy, some applications and the elements of greedy strategy in Analysis and Design of Algorithms. By Prerana Jain Last updated : August 12, 2023 ...
Aiming at large scale air combat scenarios, simulations controlling the algorithm time performance were executed achieving good quality results.doi:10.1080/08839514.2018.1451137Mnica De RezendeBeatriz S L P De LimaSolange GuimaresTaylor And FrancisApplied Artificial Intelligence...
We introduce here a greedy algorithm resulting very good approximations in reasonable computing time. We prove then that if the Markov network which encodes the conditional independences of the multivariate probability distribution fulfills some requirements then our greedy algorithm is able to find the...
In the Macintosh computer gameCrystal Questthe objective is to collect crystals, in a fashion similar to the travelling salesman problem. The game has a demo mode, where the game uses a greedy algorithm to go to every crystal. The artificial intelligence does not account for obstacles, so the...
astarartificial-intelligencegreedydfssearch-algorithmjava-programmingbfsiterative-deepening-searchoptimal-path UpdatedAug 27, 2017 Java Coloring algorithms for sparse Jacobian and Hessian matrices graphautomatic-differentiationsparsegreedycoloringautodiff UpdatedMay 3, 2025 ...
The photonic surface inverse design problem is introduced in Section 2. This section includes the formal mathematical definition of inverse design, the photonic surface design loop, the experimental models, the photonic surface design target benchmarks, and most importantly, the ALPS algorithm. The ...
Upper bounds are provided by showing that the proposed algorithm is optimal for all of them.doi:10.48550/arXiv.1412.4485Sebastian RudolphMichal ThomazoJean-Franois BagetMarie-Laure MugnierEprint Arxiv
A hybrid greedy sine-cosine algorithm with differential evolution (HGSCADE) is developed in this paper to solve optimization problems and evaluate cylindricity error. HGSCADE integrates the SCA with the opposition-based population initialization, the greedy search, the differential evolution (DE), the ...