Complex ` 1 -norm constrained multi-point algorithm
Multi-Constrained QoS Routing: A Norm Approach
... β-approximation algorithm for a minimization problem is an algorithm A that, for any instance of the problem, computes a solution that is at most β times the optimal solution of the instance, in time ...
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A novel fixed point algorithm for constrained independent component analysis
... 19]. Thus, it is necessary to develop an efficient noncircu- lar complex ICA algorithm. Among the aforementioned ICA algorithms, one of the most effective and commonly used algorithms for noncircular ...
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A constrained multi-objective surrogate-based optimization algorithm
... I. I NTRODUCTION E NGINEERING design optimization of complex systems such as aircraft, electronic filters, wireless sensors, etc. often involves expensive simulations. Wang and Shan [1] cite the example of ...
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Channel norm-bases user scheduling in coordinated multi-point systems
... The downlink channel estimation facilitating data demod- ulation at the user side is much easier to obtain. On one hand, since the number of BSs in CoMP systems is typically far smaller than the number of users, the ...
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A MULTI CONSTRAINED QOS ROUTING ALGORITHM FOR VEHICULAR ADHOC NETWORKS
... the point when a vehicle got a dynamic guide from a transport or RSU_Unit, this transport or R_S_U will be viewed as a hopeful enrolment high-level hub and be given into a competitor ...
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A GENETIC ALGORITHM FOR THE RESOURCE CONSTRAINED MULTI-PROJECT SCHEDULING PROBLEM
... Scheduling involves the allocation of the given resources to projects to determine the start and completion times of the detailed activities. There may be multiple projects con- tending for limited resources, which makes ...
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An Advanced Ant Colony Algorithm for Constrained Multi objective Optimization Problem
... Introduction In today's scientific research and engineering field, decision makers need to consider more factors, deal with more complex problems, and it often involve the simultaneous optimization of several ...
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An Evolutionary Algorithm with Multi Local Search for the Resource Constrained Project Scheduling Problem
... corporate some high performance meta-heuristics into commercial software, which is capable of solving large and complex project scheduling problems. Many effi- cient algorithms focus on the objective of minimizing ...
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Exact Algorithm to Solve the Minimum Cost Multi Constrained Multicast Routing Problem
... heuristic algorithm called The Bounded Shortest Multicast Algorithm ...BSMA algorithm always finds a delay constrained tree, if such a tree exists, since it begins with the least-delay ...
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A Constrained Multi-Objective Learning Algorithm for Feed-Forward Neural Network Classifiers
... the hottest research topics in the field of machine learning because of their learning and generalization capability. This however does not imply that a FNN can easily learn the underlying functional mapping between the ...
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An Annealed Genetic Algorithm for Multi Mode Resource Constrained Project Scheduling Problem
... genetic algorithm is proposed to solve multi mode resource constrained project scheduling ...feasible multi point forward backward crossover operator technique and implemented genetic ...
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The Research of Multi-point Function Opaque Predicates Obfuscation Algorithm
... the algorithm of code obfuscation, opaque predicate is used to confuse the judgment of the program branches to achieve complex control flow ...proposed multi-point function opaque predicate ...
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Multi objective constrained algorithm (MCA) and non dominated sorting genetic algorithm (NSGA ii) for solving multi objective crop planning problem
... solving complex practical problems in resource allocation, transportation and logistics, project selection, planning and ...to multi-objective and from linear to ...
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An adaptive hybrid optimization algorithm for multi objective security constrained OPF with facts device
... In recent days the power system network is encountering very serious stressed conditions due to the ever increasing load demand, making its operation even more complex and less secure. Probably the better solution ...
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Rank constrained stabilization of complex networks
... However, LMIRank does not support objective functions, and only solves feasibility problems. However the objective function can be minimized using an outer loop bisection algorithm. The rank computations being ...
A hybrid genetic algorithm application for a bi-objective, multi-project, multi-mode, resource-constrained project scheduling problem
... One other point attracting attention was that AMCT had its highest value for all problem sets for the objective combination minMFT/maxNPV. This result implied that in a given period the number of projects being ...
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A Max-Norm Constrained Minimization Approach to 1-Bit Matrix Completion
... analyzed 1-bit matrix completion under the uniform sampling model, where observed entries are assumed to be sampled randomly and ...trace-norm constrained approach has been shown to achieve minimax ...
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MOMC: Multi-objective and Multi-constrained scheduling algorithm of many tasks in Hadoop
... Email: [email protected] Abstract—Even though scheduling in a distributed system was debated for many years, the platforms and the job types are changing everyday. This is why we need special algorithms based on new ...
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MultPath Routing Algorithm for Multi Constrained QoS Routing in MANETs
... based Multi-Constrained QoS Routing Algorithm (PPCQ): In our proposed system we have chosen path-planning algorithm for routing in ...This algorithm is used to avoid congestion in urban ...
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Two-Archive Evolutionary Algorithm for Constrained Multi-Objective Optimization
... Let us first look at the Type-1 constrained problem. Al- though the feasible region of C1-DTLZ1 is only a narrow region above the PF, it actually does not pose any difficulty to all algorithms. In ...
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