A novel disruption in biogeography-based optimization with application to optimal power flow problem
Published 2016 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
A novel disruption in biogeography-based optimization with application to optimal power flow problem
Authors
Keywords
Disruption operator, Migration operator, Optimal power flow, Biogeography-based optimization
Journal
APPLIED INTELLIGENCE
Volume 46, Issue 3, Pages 590-615
Publisher
Springer Nature
Online
2016-10-13
DOI
10.1007/s10489-016-0848-1
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- A survey of biogeography-based optimization
- (2016) Weian Guo et al. NEURAL COMPUTING & APPLICATIONS
- Biogeography-based optimization with improved migration operator and self-adaptive clear duplicate operator
- (2014) Quanxi Feng et al. APPLIED INTELLIGENCE
- Linearized biogeography-based optimization with re-initialization and local search
- (2014) Dan Simon et al. INFORMATION SCIENCES
- Self-adaptive artificial bee colony
- (2014) Jagdish Chand Bansal et al. OPTIMIZATION
- An effective krill herd algorithm with migration operator in biogeography-based optimization
- (2013) Gai-Ge Wang et al. APPLIED MATHEMATICAL MODELLING
- Accelerated biogeography-based optimization with neighborhood search for optimization
- (2013) M.R. Lohokare et al. APPLIED SOFT COMPUTING
- Enhancing the performance of biogeography-based optimization using polyphyletic migration operator and orthogonal learning
- (2013) Guojiang Xiong et al. COMPUTERS & OPERATIONS RESEARCH
- Artificial bee colony algorithm for solving multi-objective optimal power flow problem
- (2013) M. Rezaei Adaryani et al. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
- Spider Monkey Optimization algorithm for numerical optimization
- (2013) Jagdish Chand Bansal et al. Memetic Computing
- Solution of Optimal Power Flow Subject to Security Constraints by a New Improved Bacterial Foraging Method
- (2012) Nima Amjady et al. IEEE TRANSACTIONS ON POWER SYSTEMS
- Self Balanced Differential Evolution
- (2012) Harish Sharma et al. Journal of Computational Science
- A modified shuffle frog leaping algorithm for multi-objective optimal power flow
- (2011) Taher Niknam et al. ENERGY
- Disruption: A new operator in gravitational search algorithm
- (2011) S. Sarafrazi et al. Scientia Iranica
- Evolving ant direction differential evolution for OPF with non-smooth cost functions
- (2010) K. Vaisakh et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- Blended biogeography-based optimization for constrained optimization
- (2010) Haiping Ma et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- Modified differential evolution algorithm for optimal power flow with non-smooth cost functions
- (2008) Samir Sayah et al. ENERGY CONVERSION AND MANAGEMENT
- Biogeography-Based Optimization
- (2008) D. Simon IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now