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[HTML][HTML] Elephant herding optimization: variants, hybrids, and applications
Elephant herding optimization (EHO) is a nature-inspired metaheuristic optimization
algorithm based on the herding behavior of elephants. EHO uses a clan operator to update …
algorithm based on the herding behavior of elephants. EHO uses a clan operator to update …
COVID-19 cases prediction by using hybrid machine learning and beetle antennae search approach
The main objective of this paper is to further improve the current time-series prediction
(forecasting) algorithms based on hybrids between machine learning and nature-inspired …
(forecasting) algorithms based on hybrids between machine learning and nature-inspired …
[HTML][HTML] Performance of elephant herding optimization and tree growth algorithm adapted for node localization in wireless sensor networks
Wireless sensor networks, as an emerging paradigm of networking and computing, have
applications in diverse fields such as medicine, military, environmental control, climate …
applications in diverse fields such as medicine, military, environmental control, climate …
Nature-Inspired Intelligent Computing: A Comprehensive Survey
Nature, with its numerous surprising rules, serves as a rich source of creativity for the
development of artificial intelligence, inspiring researchers to create several nature-inspired …
development of artificial intelligence, inspiring researchers to create several nature-inspired …
Elephant clan optimization: A nature-inspired metaheuristic algorithm for the optimal design of structures
M Jafari, E Salajegheh, J Salajegheh - Applied Soft Computing, 2021 - Elsevier
The current study proposes a new metaheuristic algorithm based on the clan behavior of
elephants, called elephant clan optimization (ECO), to solve structural optimization …
elephants, called elephant clan optimization (ECO), to solve structural optimization …
Elephant herding optimization Ad Hoc on-demand multipath distance vector routing protocol for MANET
Energy consumption always represents a challenge in the ad hoc networks which spurred
the researchers to benefit from the bio-inspired algorithms and their fitness functions to …
the researchers to benefit from the bio-inspired algorithms and their fitness functions to …
Elephant herding optimization using dynamic topology and biogeography-based optimization based on learning for numerical optimization
With the increasing complexity of optimization problems in the real world, more and more
intelligent algorithms are used to solve these problems. Elephant herding optimization …
intelligent algorithms are used to solve these problems. Elephant herding optimization …
An improved elephant herding optimization for global optimization problems
This study proposes a modified Elephant Herding Optimization algorithm to enhance the
capability of a classical algorithm for convalescent convergence rate and precision to solve …
capability of a classical algorithm for convalescent convergence rate and precision to solve …
An improved elephant herding optimization using sine–cosine mechanism and opposition based learning for global optimization problems
An improved elephant herding optimization (EHOI) is proposed for continuous function
optimization, financial stress prediction problem and two engineering optimization problems …
optimization, financial stress prediction problem and two engineering optimization problems …
[HTML][HTML] Analysis of reliable deployment of TDOA local positioning architectures
Abstract Local Positioning Systems (LPS) are supposing an attractive research topic over
the last few years. LPS are ad-hoc deployments of wireless sensor networks for particularly …
the last few years. LPS are ad-hoc deployments of wireless sensor networks for particularly …