[PDF] Top 20 Multi objective Optimization of Multi Agent Elevator Group Control System Based on Real time Particle Swarm Optimization Algorithm
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Multi objective Optimization of Multi Agent Elevator Group Control System Based on Real time Particle Swarm Optimization Algorithm
... most elevator cars will move to a floor m and stay ...The time taken by the elevator car in moving from ground floor to the mth floor consequently increases the total WT for a ...allow ... See full document
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The planing of distribution generation (dg) based on multi objective quantum particle swarms optimization (qpso)
... and system network loss as a objective and taking into account environmental factors, DG programming model has been ...quantum particle swarm optimization (QPSO) algorithm, and ... See full document
6
Optimal Reservoir Operation Using MOPSO with Time Variant Inertia and Acceleration Coefficients
... of optimization techniques has been suggested to derive reservoir operation policies for multi-objective reservoir ...hence Optimization techniques are expected to provide balanced their ... See full document
7
Adaptive vehicle extraction in real-time traffic video monitoring based on the fusion of multi-objective particle swarm optimization algorithm
... front based on the intelligent vehicle and structured roads is put ...same time. The extraction of the shadow area and the real-time traffic video is improved on the basis of the traditional ... See full document
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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 ... See full document
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A Systematic Literature Review- SLR On Recent Advances And Variants Of Grey Wolf Optimization
... several real-world problem optimization problems, GWO has been reformed in search space of difficult ...to real-world prob- ...wolf optimization improve as multi-objective grey ... See full document
7
A Unified Framework for Participation of Responsive End-User Devices of Smart Grid with Imopso
... posed control is carried out based on a secure communication architecture called incident command system ...voltage control were introduced that help with reducing the communication burden of ... See full document
8
Diagnosis of Coronary Artery Disease via a Novel Fuzzy Expert System Optimized by Cuckoo Search
... Genetic algorithm and called it ...support system based on fuzzy rules ...rule-based system based on neuro-fuzzy classifier optimized by conjugate gradient algorithm ... See full document
9
Multi-Objective Optimization Design of Magnetic Bearing Based on Genetic Particle Swarm Optimization
... a control magnetic ...and control magnetic circuit of HMB are shown in Figures 3(a) and (b), where F m is the magnetomotive force of PM; Ni is the magnetomotive forces generated by coils in y-axis; φ p1 , φ ... See full document
12
Handling Multi Objectives of with Multi Objective Dynamic Particle Swarm Optimization
... proposed algorithm variant from basic MOPSO ...of system reliability with respect to their reliability ...the optimization is carried out by two ways: firstly, reliability is optimized to maximum and ... See full document
7
A Stable Multi Agent based Optimization Approach for Load Shedding Control in Power Systems
... power system is insufficient to power all loads, efficient load shedding operations may need to be deployed to maintain the supply demand ...distributed multi agent based Particle ... See full document
7
Multi facts devices installation for loss minimization and techno economic impact assessment based on computational intelligence technique
... The continuous increase in electric energy demand has led to an augmented stress of the transmission lines and higher risks for faulted lines. The power flow over the transmission lines is mainly limited by some ... See full document
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A NOVEL TWO DIMENSIONAL SPECTRAL/SPATIAL HYBRID CODE FOR OPTICAL CODE DIVISION MULTIPLE ACCESS SYSTEM
... search algorithm toward more promising regions of search space that contain a high quality ...the objective function), memory bias (based on previously made decisions) or experience bias ... See full document
11
A Multi Objective Chaotic Particle Swarm Optimization Algorithm Based on Improved Inertial Weights
... inferiority particle is determined based on the corresponding dominated degree of target vector of ...new particle dominates the particle in the archive, the dominated particle can be ... See full document
8
Multi-Objective Optimization of Solar Thermal Energy Storage Using Hybrid of Particle Swarm Optimization and Multiple Crossover and Mutation Operator
... for multi objective ...solving multi objective problems in an unpublished manuscript in ...of multi objective PSOs reported in the specialized ... See full document
10
FUZZY BASED DETECTION AND SWARM BASED AUTHENTICATED ROUTING IN MANET
... Particle Swarm Optimization (PSO) is one of the meta-heuristic methods and introduced in 1995 ...simple optimization compared to the other optimization methods [3, 9, ...single ... See full document
7
Solving a new bi-objective model for a cell formation problem considering labor allocation by multi-objective particle swarm optimization
... Population based nature of swarm intelligence methods, make them more robust and efficient than classical methods like goal ...a multi-objective particle swarm ... See full document
10
PLANT GROWTH MODELING OF ZINNIA ELEGANS JACQ USING FUZZY MAMDANI AND L SYSTEM APPROACH WITH MATHEMATICA
... algebra Time(s) 1101001 ...reduction algorithm, the database of UCI is used including the "Heart1", "Thyroid", "Vote" and ...PSO algorithm is still using the previous ... See full document
5
Pareto Optimal Multi-Objective Dynamical Balancing of a Slider-Crank Mechanism Using Differential Evolution Algorithm
... a multi-objective optimization is carried out to maintain the optimal balance of ...four-objective optimization is applied using a differential evolution ...The optimization ... See full document
12
Parallel Implementation of Particle Swarm Optimization Variants Using Graphics Processing Unit Platform
... TPSO algorithm in terms of convergence speed, global optimality and solution accuracy, they are more computational intensive than TPSO ...GPU-TPSO algorithm in all ...APSO algorithm. There are much ... See full document
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