[PDF] Top 20 New Local Search Strategy in Artificial Bee Colony Algorithm

... of Artificial Intelligence in encouraging basic research into new dilemma solving strategies, and for finding and verifying systemic behaviour against benchmark problem instances ...enhanced local ... See full document

... the search equation of Gaussian bare-bones artificial bee colony algorithm (ABC-BB), which is easy to result in the problem of premature convergence and trapping into the local ... See full document

... ant colony optimization (ACO), particle swarm optimization (PSO), bacterial foraging optimization (BFO), artificial bee colony optimization (ABC) ...each bee stores candidate solution ... See full document

... (BPNN) algorithm is one of the most widely used and a popular technique to optimize the feed forward neural network ...BP algorithm has some drawbacks, such as getting stuck easily in local minima ... See full document

... CSLM algorithm, it is trained on 2-bit parity ...CSLM algorithm is compared with artificial bee colony Levenberg Marquardt algorithm (ABC-LM), Artificial Bee ... See full document

... propagation algorithm is a complex task of great importance in the field of supervised ...Bat algorithm is becoming a popular method in solving many complex optimization ...Bat algorithm along with ... See full document

... employed bee become ...bees search at random for new food sources surrounding the ...ABC algorithm, is equivalent to the number of solutions in the ... See full document

... (BPNN) algorithm is a widely used technique in training artificial neural ...training algorithm has some drawbacks such as getting stuck in local minima, and net- work ...(LMBP) ... See full document

... by local optimum. This is mainly caused by its solution search equations, which is good at exploration but poor at exploitation [1, 5, 11, 21, ...the search process [5], and numerous ABC vari- ants ... See full document

... enhanced Artificial Bee Colony (ABC) optimization algorithm, called the QoS-Based Reusable Service Selection with Multi-Objective Constraints using Artificial Bee Colony ... See full document

... honey-gather bee would turn to be investigation ...on search hit rate and success rate under dynamic network environment, which effectively improved the search feature of the ...the search of ... See full document

... Regarding the modifications ever made for the conventional ABC, from the author’s viewpoint, the prevailing ways can be broadly classified into three categories. Methods in the first category usually adopt some ... See full document

... averaged search points (computational complexity) are ...The search window is 15×15 pixels, with a search range of ±7 and the size of matching block being 8×8 pixels, shown in Table ... See full document

... The local search of ABC algorithm lacks to an information- based procedure, where the discovered solutions (the best) usually not held in the ...scout bee; its might not clearly contribute in ... See full document

... efficient search in the environment without trapping in local optimal ...Cuckoo search (CS) algorithm is also one of these optimization algorithms, which is inspired by ...effective ... See full document

... harmony search and artificial bee colony algorithm for global optimization problems have introduced the artificial bee colony algorithm is a new swarm ... See full document

... The Artificial Bee Colony (ABC) algorithm is a population-based numeric ...the bee-swarms. In the ABC algorithm, any random solution of the problem corresponds to a source of ... See full document

... selection strategy, the scout bee operator, and the parity and border line ...employed bee food sources by onlooker ...ABC algorithm named gbest-guided ABC (GABC) algorithm by ... See full document

... cited. Artificial bee colony (ABC) is one of the newest additions to the class of swarm ...ABC algorithm has been shown to be competitive with some other population-based ...time-varying ... See full document

... The artificial bee colony algorithm (ABC), proposed by Karaboga, is recently introduced optimization algorithm which simulates the foraging behavior of a honey bee ...ABC ... See full document