[PDF] Top 20 A hybrid multiagent approach for global trajectory optimization
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A hybrid multiagent approach for global trajectory optimization
... preliminary trajectory design have recently become an important topic within the space ...a global optimization problem or, more precisely, a global search for multiple low-lying local ... See full document
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A multisine approach for trajectory optimization based on information gain
... information-based approach for trajectory optimization of a robot moving between two ...optimal trajectory represents a linear combination of sine ...a global optimization ... See full document
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Hybrid behavioural-based multi-objective space trajectory optimization
... The test case, T4, is commonly recognized as one of the most challenging problems since it has 21 9 different local Pareto fronts of which only one corresponds to the global Pareto-optimal front. In this case the ... See full document
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Workflow scheduling and reliability improvement by hybrid intelligence optimization approach with task ranking
... effective hybrid optimization approach that is a combination of FPA and GWO ...local optimization algorithm and GWO is a global optimization algorithm which optimized the VM ... See full document
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Identification of the Aquifer Parameters from Pumping Test Data by Using a Hybrid Optimization Approach
... a hybrid solution approach for solving the aquifer parameter estimation problems by using the pumping test ...proposed approach, drawdown values at given distance and times are calculated by using ... See full document
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Design of optimal spacecraft-asteroid formations through a hybrid global optimization approach
... " Fgukip"qh"Qrvkocn"Urcegetchv/Cuvgtqkf"Hqtocvkqpu"vjtqwij"c"J{dtkf"Inqdcn"Qrvkok|cvkqp"Crrtqcej" 43" Hki0" 37" ujqyu" c" etquu/eqorctkuqp" dgvyggp" vjg" fkhhgtgpv" gngogpvu" qh" vjg" uq[r] ... See full document
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Design of Digital FIR High Pass Filter using Hybrid Predator Prey Optimization
... novel approach for designing a digital FIR high pass filter using hybrid predator prey optimization (HPPO) ...prey optimization is a global search algorithm whereas exploratory move is ... See full document
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Testing approaches for global optimization of space trajectories
... of global optimization method to the solution of space trajectory design problems can be found in two studies by the University of Reading [5] and by the University of Glasgow ...for global ... See full document
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Dataset Watermarking Using Hybrid Optimization and ELM
... the global best PSO, particles converge to a single point, which is on the line between the global best and the personal best ...PSO, hybrid algorithms with GA are ...a hybrid approach ... See full document
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Motion Planning for Highly Automated Road Vehicles with a Hybrid Approach Using Nonlinear Optimization and Artificial Neural Networks
... the optimization planner’s ...the optimization entirely, using the neural network’s output ...The trajectory of the vehicle is calculated with the motion predictor applied in the optimization ... See full document
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An incremental approach to the solution of global trajectory optimization problems
... incremental approach for the solution of multi-gravity assist trajectory with deep-space ...The approach is based on a decomposition of the whole problem in sub-problems that can be solved ... See full document
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On testing global optimization algorithms for space trajectory design
... some global optimization algorithms and the main characteristics of the test cases under ...appropriate approach to a ...testing global optimization algorithms, nor it wants to prove ... See full document
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A Hybrid Multi-Agent Routing Algorithm Based on Ant Colony Optimization for MANET
... new approach for an Ad hoc routing algorithm, which is based on Ant Colony Optimization (ACO) algorithm and its combination with proactive and reactive ...emerging global information from local ... See full document
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Hybrid ADMM: a unifying and fast approach to decentralized optimization
... the global solution. This approach is referred to as centralized consensus ADMM (C-CADMM), and although it has been success- fully applied in various settings, it may not always present the preferable ... See full document
17
A Study on Applying Interactive Multi-objective Optimization to Multiagent Systems
... Constraint optimization problems in multiagent systems have been studied as fundamental problems of decision making and resource ...multi-objective optimization problem with asymmetric ... See full document
6
A hybrid expert system, clustering and ant colony optimization approach for scheduling and routing problem in courier services Pages 369-396 Download PDF
... Future work should focus on the extension of the problem to a dynamic setting, in which unexpected customer’s orders or operator’s features occur and it is necessary to reschedule to attend the customers. Also, it is ... See full document
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A hybrid global optimization algorithm based on parallel chaos optimization and outlook algorithm
... PCOA was proposed by Liang [4]. Its main idea is searching the solution space by different several group chaos sequences. Firstly, use the carrier wave method to make optimization variables vary to chaos ... See full document
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Handling semantic exceptions in the large: A multiagent approach
... Our approach seeks to capture similar intuitions by defining classes of exceptions and their handling in terms of interactions, although the interactions in our case are captured in a high-level ...constructing ... See full document
21
A Survey on Application of Bio-Inspired Algorithms
... complex optimization problems and are becoming more popular ...swarm optimization methods, including ant colony optimization algorithm, particle swarm optimization algorithm, artificial bee ... See full document
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Hybrid Approach for Load Balancing in Cloud Computing
... colony optimization that random optimization search approach is usually obtained pertaining to allocating your current incoming jobs on the virtual products your algorithm uses a great positive ... See full document
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