Cargando…

An Improved Electromagnetic Field Optimization for the Global Optimization Problems

Electromagnetic field optimization (EFO) is a relatively new physics-inspired population-based metaheuristic algorithm, which simulates the behavior of electromagnets with different polarities and takes advantage of a nature-inspired ratio, known as the golden ratio. In EFO, the population consists...

Descripción completa

Detalles Bibliográficos
Autor principal:	Yurtkuran, Alkin
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Hindawi 2019
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6556263/ https://www.ncbi.nlm.nih.gov/pubmed/31263494 http://dx.doi.org/10.1155/2019/6759106

Ejemplares similares

Efficient Constraint Handling in Electromagnetism-Like Algorithm for Traveling Salesman Problem with Time Windows
por: Yurtkuran, Alkın, et al.
Publicado: (2014)

A Modified Artificial Bee Colony Algorithm for p-Center Problems
por: Yurtkuran, Alkın, et al.
Publicado: (2014)

Optimization and inverse problems in electromagnetism
por: Salvini, Alessandro
Publicado: (2018)

Optimization and inverse problems in electromagnetism
por: Rudnicki, Marek, et al.
Publicado: (2003)

Synthesis, inverse problems and optimization in computational electromagnetic
por: Russenschuck, Stephan
Publicado: (1996)

An Enhanced Artificial Bee Colony Algorithm with Solution Acceptance Rule and Probabilistic Multisearch
por: Yurtkuran, Alkın, et al.
Publicado: (2016)

American zebra optimization algorithm for global optimization problems
por: Mohapatra, Sarada, et al.
Publicado: (2023)

Optimization of cacao beans fermentation by native species and electromagnetic fields
por: Guzmán-Armenteros, Tania María, et al.
Publicado: (2023)

3rd International Workshop on Optimization and Inverse Problems in Electromagnetism
Publicado: (1994)

A Clinical Decision Support System for Femoral Peripheral Arterial Disease Treatment
por: Yurtkuran, Alkın, et al.
Publicado: (2013)

Improvement and Optimization of Electromagnetic Integrated Scanning Micromirror
por: Chen, Liang, et al.
Publicado: (2021)

A New Initialization Approach in Particle Swarm Optimization for Global Optimization Problems
por: Bangyal, Waqas Haider, et al.
Publicado: (2021)

Estimating Compressive Strength of Concrete Using Neural Electromagnetic Field Optimization
por: Akbarzadeh, Mohammad Reza, et al.
Publicado: (2023)

Nonlinear Inertia Weighted Teaching-Learning-Based Optimization for Solving Global Optimization Problem
por: Wu, Zong-Sheng, et al.
Publicado: (2015)

Dimensional Learning Strategy-Based Grey Wolf Optimizer for Solving the Global Optimization Problem
por: Liu, Xinyang, et al.
Publicado: (2022)

Handbook of test problems in local and global optimization
por: Floudas, Christodoulos A, et al.
Publicado: (1999)

Absence of self averaging in global optimization problems
por: Hansen, A, et al.
Publicado: (1996)

An Improved Chicken Swarm Optimization Algorithm for Solving Multimodal Optimization Problems
por: Liang, Jianhui, et al.
Publicado: (2022)

Modular Electromagnetic Transducer for Optimized Energy Transfer via Electric and/or Magnetic Fields
por: Zărnescu, George-Claudiu, et al.
Publicado: (2023)

Important parameters for optimized metal nanoparticles-aided electromagnetic field (EMF) effect on cancer
por: Ochoo, Lawrence, et al.
Publicado: (2018)

Pareto-optimization in computational electromagnetics
por: Russenschuck, Stephan
Publicado: (1993)

Optimization of Electromagnetic Calorimeter Structure
por: Korablev, A V
Publicado: (2001)

Optimization methods in electromagnetic radiation
por: Angell, Thomas S, et al.
Publicado: (2004)

Adaptive Guided Equilibrium Optimizer with Spiral Search Mechanism to Solve Global Optimization Problems
por: Ding, Hongwei, et al.
Publicado: (2023)

A teaching learning based optimization based on orthogonal design for solving global optimization problems
por: Satapathy, Suresh Chandra, et al.
Publicado: (2013)

An Evolutionary Frog Leaping Algorithm for Global Optimization Problems and Applications
por: Tang, Deyu, et al.
Publicado: (2021)

Electromagnetic Field Theory: A Collection of Problems
por: Mrozynski, Gerd, et al.
Publicado: (2013)

Field computation for accelerator magnets: analytical and numerical methods for electromagnetic design and optimization
por: Russenschuck, Stephan
Publicado: (2010)

A survey of mathematical optimization and inverse problems in electromagnetism-with applications to the design of superconducting magnets
por: Russenschuck, Stephan
Publicado: (1995)

Phase optimization problems: applications in wave field theory
por: Bulatsyk, Olena O, et al.
Publicado: (2010)

On the performance improvement of Butterfly Optimization approaches for global optimization and Feature Selection
por: Assiri, Adel Saad
Publicado: (2021)

An improved group teaching optimization algorithm for global function optimization
por: Wang, Yanjiao, et al.
Publicado: (2022)

Design and Optimization of a New Alternating Electromagnetic-Field-Generation System for an Inverted Microscope
por: Wu, Zehao, et al.
Publicado: (2022)

Enhancing cartilage repair with optimized supramolecular hydrogel-based scaffold and pulsed electromagnetic field
por: Li, Yucong, et al.
Publicado: (2022)

Improved Bat Algorithm Based on Multipopulation Strategy of Island Model for Solving Global Function Optimization Problem
por: Guo, Sha-Sha, et al.
Publicado: (2019)

Export dynamics as an optimal growth problem in the network of global economy
por: Caraglio, Michele, et al.
Publicado: (2016)

A Guiding Evolutionary Algorithm with Greedy Strategy for Global Optimization Problems
por: Cao, Leilei, et al.
Publicado: (2016)

Optimization of a therapeutic electromagnetic field (EMF) to retard breast cancer tumor growth and vascularity
por: Cameron, Ivan L, et al.
Publicado: (2014)

Optimization of cell sizes of electromagnetic calorimeter
por: Barsuk, S, et al.
Publicado: (1999)

Tube Radius Optimization for the Electromagnetic Forward
por: Loch, P
Publicado: (1996)

Cannot write session to /tmp/vufind_sessions/sess_vjqllk9c269f9a4al7qdrodoah