The Jiles-Atherton model is key to researching the hysteresis loop. focus of scholars across various countries has always been parameter identification model. This paper on Levy whale optimization algorithm (LWOA), based (WOA), proposes overcome disadvantage that WOA tends involve local optimum. recommended uses flight strategy instead encircling prey policy since former improves global search....

The whale optimization algorithm (WOA) is inspired by humpback social behavior and WOA a popular swarm intelligence algorithm. Yet, the does have certain flaws, such as restricted global search capability an inconsistent convergence speed, when dealing with complex problems, easy to fall into local optimum. To address WOA’s shortcomings, modified exploitability enhancement called MWOA-CEE propo...

Purpose: The development of metaheuristic algorithms has increased by researchers to use them extensively in the field business, science, and engineering. One common optimization is called Grey Wolf Optimization (GWO). algorithm works based on imitation wolves' searching process attacking grey wolves. main purpose this paper overcome GWO problem which trapping into local optima. Design or Metho...

In Wireless Sensor Networks (WSNs), routing algorithms can provide energy efficiency. However, due to unbalanced consumption for all nodes, the network lifetime is still prone degradation. Hence, efficient was developed in this article by selecting cluster heads (CH) with help of adaptive whale optimization (AWOA) which used reduce time-consumption delays. The multi-objective function CH select...

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...

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...

End-to-end obstacle avoidance path planning for intelligent vehicles has been a widely studied topic. To resolve the typical issues of solving algorithms, which are weak global optimization ability, ease in falling into local and slow convergence speed, an efficient method is proposed this paper, based on whale algorithm. We present adaptive adjustment mechanism can dynamically modify search be...