Abstract: This paper compares performance of the artificial bee colony algorithm (ABC) and the real coded genetic algorithm (RCGA) on a suite of 9 standard benchmark problems. The problem suite ...
Oil paintings meet algorithms as Mat Collishaw explores the relationship between art, technology and nature in Petrichor – now open at the Shirley Sherwood Gallery of Botanical Art. A critically ...
In response to the shortcomings of the Salp Swarm Algorithm (SSA) such as low convergence accuracy and slow convergence speed, a Multi-Strategy-Driven Salp Swarm Algorithm (MSD-SSA) was proposed.
Cancer is one of the top causes of death globally. Recently, microarray gene expression data has been used to aid in cancer’s effective and early detection. The use of DNA microarray technology to ...
The remarkable advantage of MhAs is that their efficiency is higher than that of blind search methods, which obtain an optimal solution in a short time due to no complex gradient information, ...
Bees are often seen as one of mankind’s most beloved animals. Whether it be the buzz over Honey Nut Cheerios or Jerry Seinfeld’s sarcastic character Barry from the “Bee Movie,” we seem to have a ...
Computer Science Department, University of Botswana, Gaborone, Botswana. The problem of controlling large groups of agents towards a specific target is not new. Genetic algorithms (GA) and other ...
Abstract: A major issue which divides the colony insects algorithms from the classical Genetic Algorithms is higher performance of the those natural based algorithms in comparison with the classical ...
Researchers say they have unlocked the genetic secrets of honey bees' high sensitivity to environmental change. Scientists from the UK and Australia think their findings could help show links between ...