Search · four archives
Search · four archives
6 papers · ranked by Valyu relevance
Muhammad Sulaiman, Abdellah Salhi, Eric S. Fraga
The Plant Propagation Algorithm, epitomised by the Strawberry Algorithm, has been previously successfully tested on low dimensional continuous optimisation problems. It is a neighbourhood search algorithm. In this paper, we introduce, robust and efficient version of the algorithm and explain how it can be implemented…
Hisham A. Shehadeh, Mohd Yamani Idna Idris, Iqbal H. Jebril
In this paper, a novel bio-inspired optimization algorithm is proposed, called "Bombardier Beetle Optimizer (BBO)". This type of species is very intelligent, which has an ability to defense and escape from predators. The principles of the former one is inspired by the defense mechanism of Bombardier Beetle against the…
A. Ghodousian, Mahdi Mollakazemiha, N. Karimian
This paper proposes a novel population-based meta-heuristic optimization algorithm, called Perfectionism Search Algorithm (PSA), which is based on the psychological aspects of perfectionism. The PSA algorithm takes inspiration from one of the most popular model of perfectionism, which was proposed by Hewitt and Flett.…
Faya Wang, Minghao Song, Auralee Edelen, Xiaobiao Huang
A novel approach to expedite design optimization of nonlinear beam dynamics in storage rings is proposed and demonstrated in this study. At each iteration, a neural network surrogate model is used to suggest new trial solutions in a multi-objective optimization task. The surrogate model is then updated with the new…
Marco Baioletti, Valentino Santucci, Marco Tomassini
During the last decades many metaheuristics for global numerical optimization have been proposed. Among them, Basin Hopping is very simple and straightforward to implement, although rarely used outside its original Physical Chemistry community. In this work, our aim is to compare Basin Hopping, and two population…
Štěpán Balcar, Martin Pilát
—We present an online parallel portfolio selection algorithm based on the island model commonly used for parallelization of evolutionary algorithms. In our case each of the islands runs a different optimization algorithm. The distributed computation is managed by a central planner which periodically changes the running…