This is the coding implementations of the DSA.js book and the repo for the NPM package. In this repository, you can find the implementation of algorithms and data structures in JavaScript. This ...

How to deal with the GA-data git submodule? After cloning the repository or one of its forks, run the following to properly activate the git submodule GA-data: ...

Metaheuristic high utility itemsets mining algorithms often face challenges such as poor initial population quality, low time efficiency, and itemsets loss due to premature convergence. To address ...

Decision tree is an effective supervised learning method for solving classification and regression problems. This article combines the Pearson correlation coefficient with the CART decision tree, ...

Abstract: Genetic algorithm (GA) is a common approach for multi-objective path planning. However, conventional GA performs poorly on large-scale complex maps due to the lack of an efficient ...

An algorithm is a step-by-step procedure or formula for solving a problem. In the context of computer science, it is a series of instructions that are executed to accomplish a specific task. These ...

NeighborNet constructs phylogenetic networks to visualize distance data. It is a popular method used in a wide range of applications. While several studies have investigated its mathematical features, ...

Combinatorial optimization is of general interest for both theoretical study and real-world applications. Fast-developing quantum algorithms provide a different perspective on solving combinatorial ...

A team of computer scientists has come up with a dramatically faster algorithm for one of the oldest problems in computer science: maximum flow. The problem asks how much material can flow through a ...

The traditional Apriori applied in books management system causes slow system operation due to frequent scanning of database and excessive quantity of candidate item-sets, so an information ...