Honey-bee mating optimization (HBMO) algorithm for optimal reservoir operation

By Abbas Mohasel Afshar, O. B. Haddad, M. Mariño, B. Adams. Journal of the Franklin Institute, 2007

319 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering, Ocean Engineering

View Paper: https://www.semanticscholar.org/paper/464d505151e80bd9bdc97d99635ffc81c400fae3

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Electrical and Electronic Engineering

1. Bahriye Akay
2. Dervis Karaboga
3. Heitor Silvério Lopes
4. Rafael Stubs Parpinelli
5. Xin-She Yang
6. R. Venkata Rao
7. Vivek K. Patel
8. Bilal Alatas

In Ocean Engineering

1. Dervis Karaboga
2. Bahriye Akay
3. O. Bozorg‐Haddad
4. Arvin Samadi-Koucheksaraee
5. Iman Ahmadianfar

Citations in the corpus

• Biogeography-Based Optimization Algorithm for Optimal Operation of Reservoir Systems (2016, methodology): “Afshar et al. (2007) employed honeybee mating optimization (HBMO) in optimal operation of the Dez reservoir.”
• Extracting Optimal Policies of Hydropower Multi-Reservoir Systems Utilizing Enhanced Differential Evolution Algorithm (2017, methodology): “(Afshar et al. 2007) implemented honeybee mating optimization (HBMO) algorithm in optimal operation of the Dez reservoir.”
• New inspirations in swarm intelligence: a survey (2011, background): “, 2006), stochastic dynamic programming (Chang, 2006), continuous optimisation (with an improved version of HBMO) (Afshar et al., 2007), data clustering (Fathian et al.”
• A survey: algorithms simulating bee swarm intelligence (2009, methodology): “…Infinite horizon-discounted cost stochastic dynamic programming problems Chang (2006) Optimal reservoir operation, Bozorg Haddad et al. (2006); Afshar et al. (2007); Haddad et al. (2008b) Water distribution systems Haddad et al. (2008a) Clustering, internet bookstore market segmentation…”