A chaotic quantum bee colony optimization for thinned array
نویسندگان
چکیده
Design a new novel intelligence algorithm which is called as chaotic quantum bee colony optimization (CQBCO) for discrete optimization problem. The proposed CQBCO applies the chaotic theory to quantum bee colony optimization (QBCO), which is an effective discrete optimization algorithm. Then the proposed chaotic quantum bee colony algorithm is used to solve benchmark functions and optimization problem of thinned array. By hybridizing the quantum bee colony optimization and quantum computing theory, the quantum state and binary state of the bees can be well evolved by simulated quantum rotation gate and chaotic mechanical. The new thinned array method based on CQBCO can search the global optimal solution. Simulation results for thinned array are provided to show that the proposed thinned array method is superior to the thinned array methods based on other three intelligence algorithms.
منابع مشابه
BQIABC: A new Quantum-Inspired Artificial Bee Colony Algorithm for Binary Optimization Problems
Artificial bee colony (ABC) algorithm is a swarm intelligence optimization algorithm inspired by the intelligent behavior of honey bees when searching for food sources. The various versions of the ABC algorithm have been widely used to solve continuous and discrete optimization problems in different fields. In this paper a new binary version of the ABC algorithm inspired by quantum computing, c...
متن کاملA new quantum inspired chaotic artificial bee colony algorithm for optimal power flow problem
This paper proposes a new artificial bee colony algorithm with quantum theory and the chaotic local search strategy (QCABC), and uses it to solve the optimal power flow (OPF) problem. Under the quantum computing theory, the QCABC algorithm encodes each individual with quantum bits to form a corresponding quantum bit string. By determining each quantum bits value, we can get the value of the ind...
متن کاملA Novel Bee Swarm Optimization Algorithm with Chaotic Sequence and Psychology Model of Emotion
Artificial Bee Colony algorithm is an optimization algorithm based on the intelligent behavior of honey bee swarm. This paper presents Bee Swarm Optimization intended to introduce chaotic sequences and psychology factor of emotion into the algorithm. We define two emotions Bees could have, positive and negative, and correspond to two reaction to perception respectively. For avoiding premature c...
متن کاملChaotic Bee Swarm Optimization Algorithm for Path Planning of Mobile Robots
This paper is based on swarm intelligence and chaotic dynamics for learning. We address this issue by considering the problem of path planning for mobile robots. Autonomous systems assume intelligent behavior with ability of dealing in complex and changing environments. Path planning problem, which can be studied as an optimization problem, seems to be of high importance for arising of intellig...
متن کاملChaotic Artificial Bee Colony Hybrid Discrete Constrained Optimization Algorithm
Swarm intelligence is a research branch that models the population of interacting agents or swarms that are able to self-organize. An ant colony, a flock of birds or an immune system is a typical example of a swarm system. Bees’ swarming around their hive is another example of swarm intelligence. The Artificial Bee Colony algorithm is an optimization algorithm based on the intelligent behavior ...
متن کامل