A hybrid algorithm based on self-adaptive gravitational search algorithm and differential evolution
F Zhao, F Xue, Y Zhang, W Ma, C Zhang… - Expert Systems with …, 2018 - Elsevier
Abstract The Gravitational Search Algorithm (GSA) has excellent performance in solving
various optimization problems. However, it has been demonstrated that GSA tends to trap …
various optimization problems. However, it has been demonstrated that GSA tends to trap …
A holistic review on gravitational search algorithm and its hybridization with other optimization algorithms
A Gravitational search algorithm is a physics-based heuristic algorithm inspired by Newton's
gravity law. GSA is good at finding the global optimum but has the drawbacks of slow …
gravity law. GSA is good at finding the global optimum but has the drawbacks of slow …
Incremental gravitational search algorithm for high-dimensional benchmark functions
In this study, gravitational search algorithm (GSA), which is a powerful optimization algorithm
developed in recent years and based on physics, is improved by integrating the incremental …
developed in recent years and based on physics, is improved by integrating the incremental …
Training multi-layer perceptron using hybridization of chaotic gravitational search algorithm and particle swarm optimization
A novel amalgamation strategy, namely, chaotic gravitational search algorithm (CGSA) and
particle swarm optimization (PSO), has been employed for training multi-layer perceptron …
particle swarm optimization (PSO), has been employed for training multi-layer perceptron …