According to BESO’s principle of binarizing continuous design variables and the excellent performance standard HPO algorithm in terms solving optimization problems, a discrete binary Hunter-prey is introduced construct an efficient topology model. It was used solve problems that BESO method has, such as easily falling into local optimal value being unable obtain configuration; metaheuristic abl...

This study proposes a novel binary version of the artificial bee colony algorithm based on genetic operators (GB-ABC) such as crossover and swap to solve binary optimization problems. Integrated to the neighbourhood searching mechanism of the basic ABC algorithm, the modification comprises four stages: (1) In neighbourhood of a (current) food source, randomly select two food sources from popula...

To realize the self-healing concept of smart grids, an accurate and reliable fault locator is a prerequisite. This paper presents a new fault location method for active power distribution networks which is based on measured voltage sag and use of whale optimization algorithm (WOA). The fault induced voltage sag depends on the fault location and resistance. Therefore, the fault location can be f...

Tuned mass dampers (TMDs) systems are one of the vibration controlled devices used to reduce the response of buildings subject to lateral loadings such as wind and earthquake loadings. Although TMDs system has received much attention from researchers due to their simplicity, the optimization of properties and placement of TMDs is a challenging task. Most research studies consider optimization o...

The vast majority of today’s data is collected and stored in enormous databases with a wide range characteristics that have little to do the overarching goal concept. Feature selection process choosing best features for classification problem, which improves classification’s accuracy. considered multi-objective optimization problem two objectives: boosting accuracy while decreasing feature coun...

Whale optimization algorithm (WOA) and particle swarm (PSO) have been used individually usually. However, a separate use of them has limitation. Hybridizing WOA with PSO is expected to evolve solutions better due the cooperation between whales seabirds. Developing such kind model focus this research. A framework further proposed best utilize hybridizations for developing simulation-based approa...