Work

Modified grasshopper optimisation algorithm

Year: 2020

Type: conference-paper

Abstract: The grasshopper optimization algorithm (GOA) mimics the foraging behavior of grasshopper insects. It is one of the youngest and widespread algorithms for optimization. In GOA exploration and exploitation depends on coefficient c used in position update process. So as to improve balancing in exploration and exploitation this paper introduced modified coefficient c for fine tuning these to contradictory process while searching for optimum solution. The new value of c is decided adaptively and stimulated by hyperbolic function. The anticipated algorithm is named as modified GOA (mGOA) and tested over a standard set of benchmark problems. Outcomes proves that mGOA outperformed considered algorithm for more than 90% problems.

Source: International Conference on Intelligent and Innovative Computing Applications

DOI: 10.1145/3415088.3415092

Authors: Rajani Kumari, Sandeep Kumar, Anand Nayyar

Institutions: JECRC University, Amity University Jaipur, Duy Tan University

Language: English

Topic: Metaheuristic Optimization Algorithms Research

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

OpenAlex ID: W3088301501

FWCI: 0.318

Cites: 30

Cited by: 4

Related to: 10