Multi-Objective particle swarm optimization algorithm
Discrete Multi Objective Particle Swarm Optimization Algorithm for FPGA Placement (RESEARCH NOTE)
... this algorithm is more efficient in cases with smaller numbers of ...Discrete-MOPSO algorithm has a more favorable result for smaller benchmarks, and for larger data, VPR would be more efficient ...PSO ...
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A Multi Objective Chaotic Particle Swarm Optimization Algorithm Based on Improved Inertial Weights
... of multi-objective particle swarm algorithm, an improved multi-objective particle swarm optimization algorithm was ...the algorithm ...
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A Unified Framework for Participation of Responsive End-User Devices of Smart Grid with Imopso
... improved multi-objective problem solved by the particle swarm ...improved multi-objective particle swarm optimization algorithm (IMOPSO) is designed ...
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Meta heuristic algorithms for optimized network flow wavelet based image coding
... Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) have been utilized to solve the multi-objective optimization routing problem for finding optimal routings each ...
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MLPSO: Multi leader particle swarm optimization for multi objective optimization problems
... The particle swarm optimization (PSO) algorithm, which uses the best experience of an individual and its neighborhood to find the optimum solution, has proven useful in solving various ...
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A New Particle Swarm Optimization Algorithm to Hierarchy Multi-objective Optimization Problems and Its Application in Optimal Operation of Hydropower Stations
... metaheuristic algorithm, PSO is performing well for small dimensional and less complicated ...single algorithm, it is difficult to control and to strike a balance between exploration of whole search space ...
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Handling Multi Objectives of with Multi Objective Dynamic Particle Swarm Optimization
... an algorithm which can select the optimal network topology which takes less time and low cost but should be highly ...MODPSO algorithm is suggested. It is meta-heuristic algorithm which is inspired ...
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Multi objective Optimization of Multi Agent Elevator Group Control System Based on Real time Particle Swarm Optimization Algorithm
... the swarm size configuration, another local optimal can be selected until a satisfactory global optimal cost is ...with swarm size and flock size. In fact, swarm size and flock size can be configured ...
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Multi objective enhanced particle swarm optimization in virtual network embedding
... 30 % more revenue than the algorithm of D-ViNE-SP and can obtain up to 17 % more revenue than the algorithm of EA-PSO. The reason lies in that: (i) the technique of VN consolidation can improve the ...
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Multi Objective Particle Swarm Optimization for A Dynamic Cell Formation Problem
... new multi objective dynamic cell formation with production planning consideration is presented in this paper, where total workload variations, inter-intra cellular movements and the sum of costs consisting ...
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EFFICIENT REQUIREMENT PRIORITIZATION BASED ON ENHANCED MULTI VERSE OPTIMIZER
... search algorithm (GSA) [9] and hybrid artificial neural network and particle swarm optimization (HANNPSO) ...[10]. Optimization with a single objective function is considered ...
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Solving a new bi-objective model for a cell formation problem considering labor allocation by multi-objective particle swarm optimization
... primarily swarm is initialized as same as generating a random population in general EA ...best particle is selected as leader of the swarm according to the position (fitness value) of all ...each ...
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A hybrid particle swarm evolutionary algorithm for constrained multi-objective optimization
... Particle swarm optimization (PSO) [12, 13] is a relatively recent heuristic in- spired by the choreography of a bird ...the multi- objective optimization mainly because of the ...
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Multi-objective Comprehensive Optimal Management of Construction Projects Based on Particle Algorithm
... The optimization of construction project management can greatly optimize the cycle, cost and quality of ...the multi-objective management optimization model of construction projects and the ...
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A Systematic Literature Review- SLR On Recent Advances And Variants Of Grey Wolf Optimization
... problem optimization problems, GWO has been reformed in search space of difficult ...wolf optimization improve as multi-objective grey wolf optimization to solve the multi- ...
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AHP COA Combined Algorithm for Selecting a Digital Production Machine Design
... for multi-objective optimization problems: such as Ant Colony algorithm, COA (Cuckoo Algorithm, Genetic algorithm, particle swarm optimization ...
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The planing of distribution generation (dg) based on multi objective quantum particle swarms optimization (qpso)
... a objective and taking into account environmental factors, DG programming model has been ...quantum particle swarm optimization (QPSO) algorithm, and integrated the PSO algorithm ...
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Time–Cost–Quality Trade-O in a Broiler Production Project Using Meta-Heuristic Algorithms: A Case Study
... any multi-objective ...by multi-objective evolutionary algorithms (MOEAs) to face finding the Pareto front, and evolutionary algorithms (EAs) could explore various parts of the Pareto front ...
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Design of a New Mathematical Model for Integrated Dynamic Cellular Manufacturing Systems and Production Planning
... In this paper, all test problems are conducted on a PC with a 1.8 GHz single core processor and 768 MB of RAM. The GAs are coded in Delphi 7. At first, we compare the obtained objective values from the proposed GA ...
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Optimal Location of SVC for Voltage Stability Enhancement under Contingency Condition through PSO Algorithm
... proposed algorithm. The objective function (2), active power losses and deviations of load bus voltages is solved by the proposed algorithm to locate SVC in the most suitable load ...
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