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Glowworm Swarm Optimization (GSO) Algorithm for Optimization Problems: A State-of-the-Art Review

Applied Mechanics and Materials, 2013
Glowworm Swarm Optimization (GSO) algorithm is a derivative-free, meta-heuristic algorithm and mimicking the glow behavior of glowworms which can efficiently capture all the maximum multimodal function. Nevertheless, there are several weaknesses to locate the global optimum solution for instance low calculation accuracy, simply falling into the local ...
Nurezayana Zainal   +3 more
openaire   +1 more source

Decision Support for Performance Arts Using Support Vector Regression With Genetic and Particle Swarm Algorithms

Volume 2A: 41st Design Automation Conference, 2015
Different from typical mechanical products, tickets for movies and performing arts can be considered as a special type of consumer products. Compared to widely known box-office receipts prediction with single-output in movie industry, estimating the market share and price for performing arts is still a challenging problem due to high dimensional ...
Meifang Li, Mian Li
openaire   +1 more source

State-of-the-Art in Modeling and Design of Swarms

2010
In the first two parts of this chapter, a variety of models originating in different fields is presented. All these models might potentially be applied to swarms of robots although they were originally developed to describe systems or swarms of molecules, insects, mammals, people, or only small groups of robots.
openaire   +1 more source

A state-of-the-art neuro-swarm approach for prediction of software reliability

International Journal of Advanced Intelligence Paradigms, 2021
Ajit Kumar Behera   +4 more
openaire   +1 more source

Magnetic resonance linear accelerator technology and adaptive radiation therapy: An overview for clinicians

Ca-A Cancer Journal for Clinicians, 2022
William A Hal   +2 more
exaly  

Swarm based appraoch to path planning using Honey Bees Mating Algorithm and ART neural architecture

2008
Hybridization of swarm based algorithm and self organizing neural architecture is presented. The proposed paradigm enables simulated robot to robustly explore environment while constantly increasing level of knowledge. The experience can be reused for future decisions.
Ćurković, Petar   +2 more
openaire   +1 more source

Management of glioblastoma: State of the art and future directions

Ca-A Cancer Journal for Clinicians, 2020
Aaron Tan, David M Ashley, Giselle Lopez
exaly  

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