This paper proposes a new methodology to optimize trajectory of the path for multi-robots
using improved gravitational search algorithm (IGSA) in a dynamic environment. GSA is …

In recent years, various heuristic optimization methods have been developed. Many of these
methods are inspired by swarm behaviors in nature. In this paper, a new optimization …

The optimized position of placing FACT device in an industrial zone is a challenging task. If
the FACT device is perfectly placed, the reactive power losses can be controlled within a …

Due to dependency on Plug Setting (PS), Time Dial Setting (TDS), size of the network, more
than one back-up relays for one primary relay and other technical constraints, coordination …

Meta-heuristics are algorithmic frameworks adaptable to complex optimisation problems.
Swarm intelligence represents intelligent models inspired by existing social systems, based …

In this paper, a method for detecting defects in fabric surface is presented using an optimal
Gabor filter based on hybrid BAS-GSA (Beetle Antennae Search Algorithm–Gravitational …

In this paper, the Hill Valley (HV) approach is applied to the drifting masses or agents in the
basic Gravitational Search Algorithm (GSA) for the path planning of humanoid robots. The …

This paper proposes a new methodology to optimize trajectory of the path for multi-robots
using improved gravitational search algorithm (IGSA) in clutter environment. Classical GSA …

This paper mainly focuses on the development of a hybrid gravitational search algorithm
and the pattern search (hGSA‐PS) algorithm for the optimal tuning of a unified power flow …

This paper proposes a new methodology to optimize trajectory of the path for multi-robots
using Improved particle swarm optimization Algorithm (IPSO) in clutter Environment. IPSO …