[PDF] Top 20 A Hybrid Ant Colony Optimization Algorithm using MapReduce for Arc Routing Problem

... Ant colony optimisation (ACO) could be a comparatively new random heuristic approach for determination optimisation ...salesman problem it requires a larger number of ants and iterations which ... See full document

... for optimization such as cost-loss, cost-VSI, loss-VSI and in the third case three objectives are considered con- currently as ...optimized using the proposed technique with the IEEE 30 and IEEE 118-bus ... See full document

... State Routing (OLSR) is a popular proactive routing protocol developed for ...the routing in the MANET, heuristic methods are used. In this work, a hybrid algorithm using ... See full document

... Scheduling Problem (QCSP), which consists of determining the best schedule of the unloading/loading operations of containers by quay cranes assigned to a vessel such as the overall handling time is ...The ... See full document

... proposed algorithm, to reduce energy consumption of the path, it was tried to consider the shortest path between the source node to the destination node with the highest average energy of nodes participating in ... See full document

... subgradient optimization, we use an adjusted mixture of Ant colony and Genetic metaheuristics optimization algorithm to modify (𝑋𝑋�, 𝑦𝑦�) into a feasible solution and possibly update 𝑣𝑣 ... See full document

... Each routing protocol has unique ...Proactive routing protocols are best suited in small ...proactive routing protocols cannot perform well. Proactive routing protocols are table ...of ... See full document

... network routing problem to be addressed in a packet-switched ...solve routing problem in other to maintain continuous network transmission without any loss of ...most routing devices ... See full document

... combinatorial optimization problem such as the traveling salesman problem (TSP), the quadratic assignment problem, the vehicle routing problem, and the job-shop scheduling ... See full document

... technique using GA is Advanced NSGA-II developed by Deb et al [34] and applied by ...restoration problem, the multi objective nature of the problem is retained without the need for any tunable ... See full document

... given problem is represented in the form of a string, called ‘chromosome’, consisting of a set of elements, called ‘genes’, that hold a set of values for the optimization ... See full document

... Genetic process comprises of a probabilistic step. This step can most of the times winds up with either non convergence or could result in premature convergence. Premature convergence refers to the convergence to the ... See full document

... challenging problem, in order to improve the lifetime for sensor ...networks. Hybrid Ant colony optimization (ACO) and particle swarm optimization (PSO) based energy,, efficient ... See full document

... makes Ant Colony Optimization (ACO) a useful approach to find near optimal solutions in polynomial time for Nondeterministic Polynomial time (NP) ...network routing and urban transportation ... See full document

... -Hybrid algorithm is proposed to solve combinatorial optimization problem by using Ant Colony and Genetic programming ...of Ant Colony Optimization ... See full document

... bi-level optimization strategy which it targets to solve two conflicts that biologically related which is the cell growth and maximum bioengineering ...is optimization strategy and modeling ...design ... See full document

... The problem is solved using a heuristic based on a simplified criterion check processing ...dispatching problem with pickups and ...propose routing and scheduling strategies for city couriers ... See full document

... based algorithm that are equipped for delivering minimal effort, quick, and strong answers for some complex ...solitary ant or honey bee, we will comprehend that they are not so keen but rather their ... See full document

... on Ant Colony Optimization techniques. It is a hybrid algorithm that combined a reactive routing setup process with a proactive route maintenance ...reactive routing setup ... See full document

... solving optimization problems [Bonabeau et al., 1999]. The Ant Algorithms was introduced in [Dorigo, 1992] and after that, it has been gained a great success by applying it on both theoretical and practical ... See full document