Abstract: Mutation testing is computationally expensive, but the computational effort can be reduced by using search-based testing techniques like Genetic algorithm. Genetic algorithm helps in ...

Abstract: This paper proposes a five different Genetic Algorithms for the Resource Constrained Project Scheduling Problem (RCPSP) and a comparison between them is proposed. This work employs Genetics ...

A steady-state \(\mu\)GA-based generative hyper-heuristic approach for producing selection hyper-heuristics that outperform those generated by other evolutionary methods in the literature for the ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Antimicrobial peptides (AMPs) have emerged as a promising alternative to conventional ...

Supplying energy plays a crucial role in human life and progress. Studies indicate that buildings currently account for 32% of the world’s total energy consumption, a significant increase in recent ...

Even today's digitally expanded world of modern dating has nothing on the ancient world. Hundreds of thousands of years ago, there were roughly four species of ancient hominids getting it on with ...

The Stochastic Optimisation Software (SOS) is a research-oriented software platform for Metaheuristic Optimisation (Stochastic Optimisation). If you are using SOS, please acknowledge the article ...

In the realm of computer science and software engineering, Java stands as a beacon of algorithmic prowess. This versatile and widely adopted programming language has established itself as a leading ...

[Ahuja00] “A greedy genetic algorithm for the quadratic assignment problem”, R. Ahuja, J. Orlin, A. Tiwari, Computers and Operations Research, vol. 27, issue 10 (Sept. 2000), 917--934, ACM (2000) ...

ABSTRACT: The main objective of software testing is to have the highest likelihood of finding the most faults with a minimum amount of time and effort. Genetic Algorithm (GA) has been successfully ...