The Bee Colony Optimization Metaheuristic (BCO) is proposed in the paper. The BCO represents the new metaheuristic capable to solve difficult combinatorial optimization problems. The artificial bee colony behaves partially alike, and partially differently from bee colonies ill nature. In addition to proposing the BCO as a new metaheuristic, we also describe in the paper two BCO algorithms that we call the Bee System (BS) and the Fuzzy Bee System (FBS). In the case of FBS the agents (artificial bees) use approximate reasoning, and rules of fuzzy logic in their communication and acting. In this way, the PIS is capable to solve deterministic combinatorial problems, as well as combinatorial problems characterized by uncertainty. The proposed approach is illustrated by three Case studies.

Bee Colony Optimization: Principles and Applications / Dusan, Teodorovic; Panta, Lucic; Goran, Markovic; Dell'Orco, Mauro. - STAMPA. - (2006), pp. 151-156. (Intervento presentato al convegno 8th Seminar on Neural Network Applications in Electrical Engineering, NEUREL 2006 tenutosi a Belgrado, Serbia nel September 26-27, 2006) [10.1109/NEUREL.2006.341200].

Bee Colony Optimization: Principles and Applications

Mauro Dell' Orco
2006-01-01

Abstract

The Bee Colony Optimization Metaheuristic (BCO) is proposed in the paper. The BCO represents the new metaheuristic capable to solve difficult combinatorial optimization problems. The artificial bee colony behaves partially alike, and partially differently from bee colonies ill nature. In addition to proposing the BCO as a new metaheuristic, we also describe in the paper two BCO algorithms that we call the Bee System (BS) and the Fuzzy Bee System (FBS). In the case of FBS the agents (artificial bees) use approximate reasoning, and rules of fuzzy logic in their communication and acting. In this way, the PIS is capable to solve deterministic combinatorial problems, as well as combinatorial problems characterized by uncertainty. The proposed approach is illustrated by three Case studies.
2006
8th Seminar on Neural Network Applications in Electrical Engineering, NEUREL 2006
1-4244-0432-0
Bee Colony Optimization: Principles and Applications / Dusan, Teodorovic; Panta, Lucic; Goran, Markovic; Dell'Orco, Mauro. - STAMPA. - (2006), pp. 151-156. (Intervento presentato al convegno 8th Seminar on Neural Network Applications in Electrical Engineering, NEUREL 2006 tenutosi a Belgrado, Serbia nel September 26-27, 2006) [10.1109/NEUREL.2006.341200].
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11589/21975
Citazioni
  • Scopus 147
  • ???jsp.display-item.citation.isi??? 101
social impact