Amanote Research

Amanote Research

    RegisterSign In

Analysis of Migration Models of Biogeography-Based Optimization Using Markov Theory

Engineering Applications of Artificial Intelligence - United Kingdom
doi 10.1016/j.engappai.2011.04.012
Full Text
Open PDF
Abstract

Available in full text

Categories
ControlSystems EngineeringElectricalArtificial IntelligenceElectronic Engineering
Date

September 1, 2011

Authors
Haiping MaDan Simon
Publisher

Elsevier BV


Related search

Markov Models for Biogeography-Based Optimization

IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics)
2011English

Variations of Biogeography-Based Optimization and Markov Analysis

Information Sciences
ControlSystems EngineeringManagementTheoretical Computer ScienceComputer Science ApplicationsInformation SystemsArtificial IntelligenceSoftware
2013English

Building Markov State Models Using Optimal Transport Theory

2018English

Building Markov State Models Using Optimal Transport Theory

2018English

Similarity-Based Clustering of Sequences Using Hidden Markov Models

English

Differential Importance Measure of Markov Models Using Perturbation Analysis

2009English

Heuristic Crossover Based on Biogeography-Based Optimization

2017English

Reactive Power Optimization Based on Multi-Agent System With Markov Game Theory

2014English

An Analysis of Pilot Whale Vocalization Activity Using Hidden Markov Models

Journal of the Acoustical Society of America
AcousticsUltrasonicsArtsHumanities
2017English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy