8 citations · 12 across the 5 of their papers we have counts for
5 papers
Novel Methods for Enhancing the Performance of Genetic Algorithms
Esra'a O Alkafaween
In this thesis we propose new methods for crossover operator namely: cut on worst gene (COWGC), cut on worst L+R gene (COWLRGC) and Collision Crossovers. And also we propose severa…
Improving TSP Solutions Using GA with a New Hybrid Mutation Based on Knowledge and Randomness
Esra'a Alkafaween, Ahmad B. A. Hassanat
Genetic algorithm (GA) is an efficient tool for solving optimization problems by evolving solutions, as it mimics the Darwinian theory of natural evolution. The mutation operator i…
Step Detection Algorithm For Accurate Distance Estimation Using Dynamic Step Length
Ahmad Abadleh, Eshraq Al-Hawari, Esra'a Alkafaween +1
In this paper, a new Smartphone sensor based algorithm is proposed to detect accurate distance estimation. The algorithm consists of two phases, the first phase is for detecting th…
On Enhancing Genetic Algorithms Using New Crossovers
Ahmad B. A. Hassanat, Esra'a Alkafaween
This paper investigates the use of more than one crossover operator to enhance the performance of genetic algorithms. Novel crossover operators are proposed such as the Collision c…
Enhancing Genetic Algorithms using Multi Mutations
Ahmad B. A. Hassanat, Esra'a Alkafaween, Nedal A. Al-Nawaiseh +3
Mutation is one of the most important stages of the genetic algorithm because of its impact on the exploration of global optima, and to overcome premature convergence. There are ma…