The hyper-cube framework for ant colony optimization
By Christian Blum, Marco Dorigo. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics), 2004
436 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computational Theory and Mathematics
View Paper: https://www.semanticscholar.org/paper/d5bb4fb5a52871a25eb46b768b8c0e9fca04a6dd
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Christian Blum
- Marco Dorigo
- Thomas Stützle
- Xiaodong Li
- Mohammad Ehsan Basiri
- Mehdi Hosseinzadeh Aghdam
- Nasser Ghasem-Aghaee
- Xin-She Yang
In Computational Theory and Mathematics
- Christian Blum
- Marco Dorigo
- Thomas Stützle
- Xiaodong Li
- Seyedali Mirjalili
- Holger H. Hoos
- Frank Hutter
- Leandro Nunes de Castro
Citations in the corpus
- Ant colony optimization theory: A survey (2005, methodology): “For this purpose we take inspiration from the way of describing ACO as done in [6].”
- Ant colony optimization (2006, neutral): “2001 [20], [21] TABLE 1 A non-exhaustive list of successful ant colony optimization algorithms (in chronological order).”
- Ant colony optimization: Introduction and recent trends (2005, methodology): “The recent book by Dorigo and Stützle gives a more comprehensive description [36].”
- Ant Colony Optimization: Overview and Recent Advances (2018, background): “It follows mainly the versions presented in Chapter 3 of [66] or [21, 22].”
- Fundamentals of natural computing: an overview (2007, neutral): “Among the most successful variants of ACO are the ‘Elitist Ant System’ [81], the ‘Rank-Based Ant System’ [86], the ‘Max–Min Ant System’ [262], and the ‘Hypercube Framework’ [35].”
- Beam-ACO - hybridizing ant colony optimization with beam search: an application to open shop scheduling (2005, methodology): “5 This is reasonable as our algorithm is implemented in the hyper-cube framework [30,31], which limits the pheromone values between 0 and 1.”
- Text feature selection using ant colony optimization (2009, background): “A partial solution does not define any ordering among the components of the solution, and the next component to be selected is not necessarily influenced by the last component added to the partial solution (Blum & Dorigo, 2004; Leguizamon & Michalewicz, 1999).”
- Swarm Intelligence in Optimization (2008, background): “Elitist AS (EAS) Dorigo [46] Dorigo, Maniezzo, and Colorni [51] Rank-based AS (RAS) Bullnheimer, Hartl, and Strauss [26] MAX –MIN Ant System (MMAS) Stützle and Hoos [164] Hyper-Cube Framework (HCF) Blum and Dorigo [16] given by S upd ← {s ib = argmax{F (s) | s ∈ S iter }} with w s ib = 1, that is, b”