Bee Colony Optimization – a Cooperative Learning Approach to Complex Transportation Problems
By D. Teodorovic, M. Dell'Orco. 2005
302 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/584efff67876e262ec174bd3f7dc46bc883f9500
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Citations in the corpus
- A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm (2007, background): “Teodorović also proposed the Bee Colony Optimization Metaheuristic (BCO) which is capable of solving deterministic combinatorial problems, as well as combinatorial problems characterized by uncertainty [11].”
- A comparative study of Artificial Bee Colony algorithm (2009, background): “Once more Teodorović proposed the Bee Colony Optimization (BCO) Metaheuristic which is capable of solving deterministic combinatorial problems, as well as combinatorial problems characterized by uncertainty [20].”
- New inspirations in swarm intelligence: a survey (2011, methodology): “…1997), honey bee algorithm (Nakrani and Tovey, 2003), BeeHive (Wedde et al., 2004), virtual bee algorithm (Yang, 2005), bee colony optimisation (Teodorovic and Dell’Orco, 2005), bees swarm optimisation (Drias et al., 2005), artificial bee colony (ABC) algorithm (Karaboga, 2005), BA (Pham et…”
- Gaining-sharing knowledge based algorithm for solving optimization problems: a novel nature-inspired algorithm (2019, background): “2004 258 [35] Bee colony optimization Teodrovic, Dell’ Orco 2005 421 [36] Cooperative bees swarm optimization Drias et al.”
- An exhaustive review of the metaheuristic algorithms for search and optimization: taxonomy, applications, and open challenges (2023, background): “(2010) 50 Atmosphere Clouds Model Optimization (ACMO) Gao-Wei and Zhanju (2012) 51 Atomic Orbital Search (AOS) Azizi (2021) 52 Backtracking Search Optimization (BSO) Civicioglu (2013b) 53 Bacterial Chemotaxis Optimization (BCO) Muller et al.”
- A survey of swarm intelligence for dynamic optimization: Algorithms and applications (2017, methodology): “Teodorovi´c and Dell’Orco [236] applied a bee algorithm (e.g., bee colony optimization development) with fuzzy logic to the ride-matching problem.”