An adaptive gravitational search algorithm for global optimization

Abstract

<span>Optimization algorithm has become one of the most studied branches in the fields of artificial intelligent and soft computing. Many powerful optimization algorithms with global search ability can be found in the literature. Gravitational Search Algorithm (GSA) is one of the relatively new population-based optimization algorithms. In this research, an Adaptive Gravitational Search Algorithm (AGSA) is proposed. The AGSA is enhanced with an adaptive search step local search mechanism. The adaptive search step begins the search with relatively larger step size, and automatically fine-tunes the step size as iterations go. This enhancement grants the algorithm a more powerful exploitation ability, which in turn grants solutions with higher accuracies. The proposed AGSA was tested in a test suit with several well-established optimization test functions. The results showed that the proposed AGSA out-performed other algorithms such as conventional GSA and Genetic Algorithm in the benchmarking of speed and accuracy. It can thus be concluded that the proposed AGSA performs well in solving local and global optimization problems. Applications of the AGSA to solve practical engineering optimization problems can be considered in the future.</span>

Embedded Control and Remote Monitoring for Photovoltaic Solar Energy Harvesting Systems: A Review

“…Although, the development in embedded system is already widely used in this industry, there are still several aspects to be improved such as the energy consumption of the monitoring system to lower the operation cost, security which prevents data being stolen by hackers, cloud connectivity to ensure the users could access the data from anywhere in the world and also mesh networking of the embedded systems. These improvements onto the embedded system could be realized with the help of other recent scientific trends of development, such as artificial intelligence and IoTs [36][37][38][39]. As components of industrial revolution 4.0 continues to improve, the industry of embedded system would be driven to continue its growth further.…”