A Novel Nature-Inspired Coconut Tree Optimization Technique forEngineering Applications

Title

A Novel Nature-Inspired Coconut Tree Optimization Technique forEngineering Applications

Creator

Venkataswamy, R.

Description

Coconut tree optimization technique is a novel optimization algorithm that is motivated by the physical structure of the coconut tree. The search for optima in a feasible region is chosen between a random root and any point in a leaf. Coconut tree optimization is a pseudo meta-heuristic algorithm wherein search of solution is carried out using random as well as gradient movement with a memory stack that contains local optima. Nonlinear optimization problems consisting of equality and inequality constraints were solved using the proposed algorithm. The algorithm is validated for linear and nonlinear optimization problems. The comparative study and analysis were detailed for existing algorithms used in domain-specific physical problems. The algorithm is compared with the genetic algorithm and particle swarm optimization by considering standard test functions. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

Source

Lecture Notes in Networks and Systems;Volume;1277 LNNS;pp.335-351

Date

01-01-2025

Publisher

Springer Science and Business Media Deutschland GmbH

Subject

Coconut tree optimization; Evolutionary algorithms; Metaheuristic optimization; Nature-inspired algorithm; Nonlinear programming

Coverage

Venkataswamy R., Christ University, Bangalore, 560074, India

Rights

Restricted Access; Hardcopy may be available in the library

Relation

ISSN: 23673370; ISBN: 978-981962699-1;

Format

online

Language

English

Type

Conference paper

Identifier

https://doi.org/10.1007/978-981-96-2700-4_25

https://www.scopus.com/pages/publications/105011285657?origin=resultslist