[PDF] Top 20 A HYBRID OPTIMIZATION ALGORITHM BASED ON GENETIC ALGORITHM AND ANT COLONY OPTIMIZATION

... GA and ACO hybridization that is slightly more efficient than Al-Salami work by extending crossover operator in GA (EXO) to produce better solution generated by ...iteratively and independent to each ... See full document

... network on foot is ...mapping and crime prediction (Ratcliffe 2010) based on historical ...move on the road network, and communicate frequently with the control ...centre, ... See full document

... commercial optimization software to solve the model, analyzing different ...cost and service level are ...Annealing, Ant Colony Optimization (ACO), and Particle Swarm ... See full document

... are hybrid EAs that combine genetic operators with local search ...exploration and local exploitation in search space, MAs are capable of obtaining more high-quality ...solutions. On the other ... See full document

... Conventional optimization techniques such as graphical methods [4], linear programming [5], dynamic programming [6, 7], and geometric programming [8, 9] have been used to solve optimization problems ... See full document

... Hussain and et al [7] successfully utilized a genetic algorithm approach to cluster the nodes but they used GA just in choosing the cluster ...PSO based methods are more preferable in ... See full document

... (1) and (2), k-th ant may either follows the most favorable path already established or may randomly select a path to follow based on a probability distribution established by distance ... See full document

... [4] and Electrophoretic Mobility Shift Assay (EMSA) ...laborious and time-consuming. With rapid advances in biotechnology and large amounts of sequencing data, computational strategies for de novo ... See full document

... fuzzy based heterogeneous radio access technology selection using Hybrid Multi- objective decision making algorithm: The authors (Aleksandar and Janevski, 2011) proposed the efficient radio ... See full document

... Genetic Algorithm is an optimization and search technique based on selection mechanism and natural evolution, following Darwin’s theory of species’ evolution, which ... See full document

... Content Based Medical Image Retrieval (CBMIR) for the effective management of medical images with the support of visual features for the purpose of diagnosis and educational research ...approach ... See full document

... process and with respect to the number of associated tables in a query, its number of permutations grows ...exponentially. On one hand, in comparison with other operators in relational database, join ... See full document

... whole genetic evolution of a complete group of individuals in a specific environment, trying to reach a stable state through ...assimilation and transmission of genetic material in real time; Quorum ... See full document

... Proceedings of the 11th European conference on Evolutionary computation in combinatorial optimization. Modifications and additions to ant colony optimization to solve the set partitionin[r] ... See full document

... systems and proposes a genetic algorithm to obtain the position and orientation of each MIMO array antenna that maximizes the ergodic capacity for a given propagation ...spatial and ... See full document

... topology and limited ...modeling and design an efficient routing protocol in such dynamic networks is an important ...jitter and energy in the case of multimedia and real time ...called ... See full document

... ACO algorithm which is called Ant System (AS) for the problem and then presented an improved AS in Bullnheimer et ...a hybrid approach for solving the CVRP by combining the AS with the savings ... See full document

... the optimization problem is solved ...networks and the Kriging method for constructing fitness approximation models in evolutionary ...Jin and Sendhoff [62] combined the k-nearest-neighbor clustering ... See full document

... approximation algorithm (Lawler, ...route and they exhibit high computational complexity for real-time ...relying on their parallel architecture to provide a fast solution (Araujo et ...as ... See full document

... using Ant Colony Optimisation (ACO) for arriving at a ...set on heterogeneous processors ensuring load balancing across the ...task on different ...conducted based on an ACO ... See full document