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[PDF] Top 20 Input Frequencies Optimization Based on Genetic Algorithm for Maximal Mutual Information

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Input Frequencies Optimization Based on Genetic Algorithm for Maximal Mutual Information

Input Frequencies Optimization Based on Genetic Algorithm for Maximal Mutual Information

... of information, unfortunately, this mismatch found expression in information loss during transfer to reception ...non-traditional optimization method, namely genetic algorithm, which ... See full document

9

Convalesce Optimization for Input Allocation Problem Using Hybrid Genetic Algorithm

Convalesce Optimization for Input Allocation Problem Using Hybrid Genetic Algorithm

... conceptually based on the methods that living organisms adapt to their ...randomized information exchange to form a search algorithm with some of the innovative flair of human ...speculate ... See full document

4

A New Algorithm to Optimize Maximal Information Coefficient.

A New Algorithm to Optimize Maximal Information Coefficient.

... approximation algorithm for MIC by either optimizing the MIC value or reducing the computing ...MIC based on parallel computing ...quadratic optimization to calculate the ...and genetic ... See full document

13

A parallel attractor-finding algorithm based on Boolean satisfiability for genetic regulatory networks.

A parallel attractor-finding algorithm based on Boolean satisfiability for genetic regulatory networks.

... of genetic, environmental and lifestyle factors, including cancer, Alzheimer’s disease, asthma, multiple sclerosis, osteoporosis, connective tissue diseases, kidney diseases, liver diseases, autoimmune diseases, ... See full document

10

Level of Repair Analysis based on Genetic Algorithm with Tabu Search

Level of Repair Analysis based on Genetic Algorithm with Tabu Search

... hybrid algorithm of Genetic Algorithm and Tabu Search (GATS) has been developed and implemented into a computational algorithm in MATALAB code to solve this mathematical ...The ... See full document

7

Eddy current testing probe optimization using a parallel genetic algorithm

Eddy current testing probe optimization using a parallel genetic algorithm

... Thicknesses of nonconductive coatings, placed over non-ferromagnetic specimens are usually tested by similar eddy current testing equipment. The numerical model that simulates the measuring process is based ... See full document

10

Trip Frequency Scheduling for Traffic Transportation Management based on Compact Genetic Algorithm

Trip Frequency Scheduling for Traffic Transportation Management based on Compact Genetic Algorithm

... approaches based on traffic transportation management were proposed in ...the genetic algorithm (GA) to manage formation and dissipation of traffic management ...hybrid genetic ... See full document

3

Optimization of Turning Operations by Using a Hybrid Genetic Algorithm with Sequential Quadratic Programming

Optimization of Turning Operations by Using a Hybrid Genetic Algorithm with Sequential Quadratic Programming

... the optimization problem is to find the solutions of m subproblems, the minimum of these results will be the solution of the global optimization ...3. Genetic algorithm (GA) and Sequential ... See full document

7

J. Microw. Optoelectron. Electromagn. Appl.  vol.15 número4

J. Microw. Optoelectron. Electromagn. Appl. vol.15 número4

... slots on the ground plane, their locations and dimensions are obtained by using genetic algorithm (GA) and particle swarm (PS) optimization techniques, the objective is to show how this ... See full document

16

Genetic relationships among native americans based on β-globin gene cluster haplotype frequencies

Genetic relationships among native americans based on β-globin gene cluster haplotype frequencies

... HincII-β; 5. HincII-3’β. Typing was done by PCR amplifi- cation, followed by restriction digestion and agarose gel electrophoresis, according to Guerreiro et al. (1992) for site HincII 5’, and to Sutton et al. (1989) for ... See full document

6

Nadia Bento Extended Abstract Final

Nadia Bento Extended Abstract Final

... Frequency, Mutual Information, Fusion Quality Index and Structural Similarity ...The Mutual Information, Fusion Quality Index and Structural Similarity Index are the appropriate metrics to ... See full document

10

A NEW GENETIC ALGORITHM BASED SCHEDULING ALGORITHM FOR THE LTE UPLINK

A NEW GENETIC ALGORITHM BASED SCHEDULING ALGORITHM FOR THE LTE UPLINK

... The scheduling process is performed after the HARQ allocation. Then, sometimes, not all RBs will be available for scheduling of new transmissions. Another important detail to advert to: when a user is scheduled by HARQ ... See full document

122

CLUSTERING TWEETS USING CELLULAR GENETIC ALGORITHM

CLUSTERING TWEETS USING CELLULAR GENETIC ALGORITHM

... The last years witnessed an enormous growth of internet-based social network siteslike Facebook, Google+, Twitter, YouTube, etc. This has transformed the way by which people communicate and interact with others ... See full document

12

Impact of grade distribution on the final pit limit definition

Impact of grade distribution on the final pit limit definition

... (LG) algorithm “to draw the contour of an open pit in a way to maximize the differences between the total value of the exploited mineralization and the total cost of mining the ore and waste” (LERCHS and ... See full document

9

Artificial Bee Colony with Different Mutation Schemes: A comparative study

Artificial Bee Colony with Different Mutation Schemes: A comparative study

... ABC algorithm, the bees’ colony involves three different types of ...with information regarding the quality of the food sources they are ...the information shared with em- ployed bees to decide where ... See full document

22

A Bio-Inspired Algorithm based on Membrane Computing for Engineering Design problem

A Bio-Inspired Algorithm based on Membrane Computing for Engineering Design problem

... bio-inspired algorithm based on membrane computing will be proposed by using the concepts and mechanism of both P systems and PSO with the neighborhood ...this algorithm, a P systems- like ... See full document

9

Heuristic Task Allocation Strategies for Computational Grid

Heuristic Task Allocation Strategies for Computational Grid

... requirement based on current application request. A discussion on triangular pyramid scheduling (TPS) model for resource allocation in grid can be found in ...compensation based strategies for ... See full document

7

A New Revised DNA Cramp Tool Based Approach of Chopping DNA Repetitive and Non-Repetitive Genome Sequences

A New Revised DNA Cramp Tool Based Approach of Chopping DNA Repetitive and Non-Repetitive Genome Sequences

... Universal compression algorithms are fails to compress genetic sequences due to specificity of ‘text’. Some standard algorithms are worked on it and achieved negative compression rates. General purpose ... See full document

7

Robust CPD Algorithm for Non-Rigid Point Set Registration Based on Structure Information.

Robust CPD Algorithm for Non-Rigid Point Set Registration Based on Structure Information.

... TPS-RPM algorithm uses a thin plate spline as non-rigid mapping as well as uses soft allocation and deter- ministic annealing to solve the combined optimization ...(CPD) algorithm and treated the ... See full document

17

Strength Pareto Evolutionary Algorithm based Multi-Objective Optimization for Shortest Path Routing Problem in Computer Networks

Strength Pareto Evolutionary Algorithm based Multi-Objective Optimization for Shortest Path Routing Problem in Computer Networks

... Evolutionary Algorithm (SPEA), is presented in this paper to solve the shortest path routing ...multi-objective optimization problem with competing and noncommensurable ...clustering algorithm to ... See full document

10

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