[PDF] Top 20 An Advanced Ant Colony Algorithm for Constrained Multi objective Optimization Problem

... proposed algorithm improves the maximum dispersion range and convergence of the solution set, and can better reflects the relationship between the ...the ant colony algorithm research can ... See full document

... fundamental problem in MANETs where one node is required to transmit data to a subset of other network ...(MEM) problem is NP-complete [1] and can be stated as a combinatorial optimization ...MEM ... See full document

... a multi-approach simulator, equipped with a rich and easy-to-master toolbox, that allows to effectively combine the various simulation techniques (agent based simulation, discrete-event simulation and system ... See full document

... Next, to verify the effectiveness of the proposed algo- rithm, its performance is compared with DDRP [31] and SGDD [32] in terms of the average hops, average re- sidual energy, and network life time for different num- ... See full document

... The objective of the research mostly focuses on minimizing the total completion time, such as the ...m-machines problem, which is classified as combinatorial optimization ...NP-hard problem ... See full document

... generic problem representation and the definition of the ant’s ...the problem being solved by moving concurrently and asynchronously on an appropriately defined construction ...of ant colonies ... See full document

... the multi-objective method is to solve the partial flexible open-shop scheduling problem (PFOSP), this paper optimizes the three objectives of minimizing the makespan, the maximum workload and the ... See full document

... Qian Wang, Qi- peng zhang, Wei Zhou [2]: This paper presented a remote sensing image segmentation based on ACA- FCM. In this paper describe a remote sensing image based on the complexity of the background features, how ... See full document

... Swarm Optimization is an optimization algorithm which uses iterations to improve the ...This algorithm solved the problem by moving the candidate solutions by applying common ... See full document

... combinatorial optimization problem is a problem defined over a set C = c1, ...the problem; F ⊆ 2C is the subset of feasible solutions, thus a solution S is feasible if and only if S ∈ ...the ... See full document

... finding problem and navigation are important issues in transportation systems and researchers are still trying to find better solutions in solving them under different ...and multi-objective [Chakhar ... See full document

... their colony while laying down pheromone ...an ant to travel down the path and back again, the more time the pheromones have to ...be constrained. Thus, when one ant finds a short path from ... See full document

... Ant colony optimization bionics algorithm and was proposed by Italian scholar ...of ant colony optimization algorithms was developed through observations of the behavior ... 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

... own algorithm-specific control ...the algorithm-specific parameters is a very important factor for the efficient working of the evolutionary and swarm intelligence based ...the algorithm-specific ... See full document

... makes Ant Colony Optimization (ACO) a useful approach to find near optimal solutions in polynomial time for Nondeterministic Polynomial time (NP) ...Salesman Problem (TSP), the ant ... See full document

... mechanism, problem specific heuristics and direction-based search methods plays a major role, while the efficiency is mainly because the proposed algorithm is computationally cheap as it only uses a single ... See full document

... robust multi-objective scheduling algorithm is required to optimize workflow grid ...scheduling’s objective is to deliver Quality of Service (QoS) to grid users and raise resource ...Genetic ... See full document

... The Ant Colony metaheuristic is based on the natural behavior of ants searching ...each ant is to reduce the effort and time required to obtain ...combinatorial optimization problems ... See full document

... selection problem for the components of Hard Disk Drive using ...This problem is constrained by the limited budget and the requirement on the suppliers rating for the ...problem’s objective is ... See full document