Computing with the collective intelligence of honey bees–a survey
Over past few decades, families of algorithms based on the intelligent group behaviors of
social creatures like ants, birds, fishes, and bacteria have been extensively studied and …
social creatures like ants, birds, fishes, and bacteria have been extensively studied and …
Evolutionary discrete firefly algorithm for travelling salesman problem
This paper addresses how to apply firefly algorithm (FA) for travelling salesman problem
(TSP). Two schemes are studied, ie discrete distance between two fireflies and the …
(TSP). Two schemes are studied, ie discrete distance between two fireflies and the …
An artificial bee colony algorithm with a modified choice function for the traveling salesman problem
Abstract The Artificial Bee Colony (ABC) algorithm is a swarm intelligence approach which
has initially been proposed to solve optimisation of mathematical test functions with a unique …
has initially been proposed to solve optimisation of mathematical test functions with a unique …
[PDF][PDF] Bee colony optimization Part I: The algorithm overview
T Davidović - Yugoslav Journal of Operations Research, 2016 - yujor.fon.bg.ac.rs
This paper is an extensive survey of the Bee Colony Optimization (BCO) algorithm,
proposed for the first time in 2001. BCO and its numerous variants belong to a class of …
proposed for the first time in 2001. BCO and its numerous variants belong to a class of …
[HTML][HTML] Fuzzy sets in dynamic adaptation of parameters of a bee colony optimization for controlling the trajectory of an autonomous mobile robot
A hybrid approach composed by different types of fuzzy systems, such as the Type-1 Fuzzy
Logic System (T1FLS), Interval Type-2 Fuzzy Logic System (IT2FLS) and Generalized Type …
Logic System (T1FLS), Interval Type-2 Fuzzy Logic System (IT2FLS) and Generalized Type …
A new fuzzy bee colony optimization with dynamic adaptation of parameters using interval type-2 fuzzy logic for tuning fuzzy controllers
L Amador-Angulo, O Castillo - Soft Computing, 2018 - Springer
This paper presents a new fuzzy bee colony optimization method to find the optimal
distribution of the membership functions in the design of fuzzy controllers for complex …
distribution of the membership functions in the design of fuzzy controllers for complex …
Bee colony optimization and its applications
The objective of this chapter is to promote the bee colony optimization (BCO) algorithm as a
simple and effective metaheuristic method. BCO is a stochastic, random-search population …
simple and effective metaheuristic method. BCO is a stochastic, random-search population …
An integrated algorithm based on artificial bee colony and particle swarm optimization
X Shi, Y Li, H Li, R Guan, L Wang… - 2010 Sixth international …, 2010 - ieeexplore.ieee.org
Based on particle swarm optimization (PSO) and artificial bee colony (ABC), a novel hybrid
swarm intelligent algorithm is developed in this paper. Two information exchanging …
swarm intelligent algorithm is developed in this paper. Two information exchanging …
A realizable GAS-based quantum algorithm for traveling salesman problem
The paper proposes a quantum algorithm for the traveling salesman problem (TSP) based
on the Grover Adaptive Search (GAS), which can be successfully executed on IBM's Qiskit …
on the Grover Adaptive Search (GAS), which can be successfully executed on IBM's Qiskit …
Discrete cuckoo search for traveling salesman problem
GK Jati, HM Manurung - 2012 7th international conference on …, 2012 - ieeexplore.ieee.org
Cuckoo search (CS) belongs to a class of novel nature-inspired algorithm inspired by the
obligate brood parasitism of some cuckoo species by laying their eggs in the nests of other …
obligate brood parasitism of some cuckoo species by laying their eggs in the nests of other …