http://rdf.ncbi.nlm.nih.gov/pubchem/patent/JP-2004530208-A
Outgoing Links
Predicate | Object |
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classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-126 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-12 |
classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-12 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-00 |
filingDate | 2002-04-04-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
publicationDate | 2004-09-30-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
publicationNumber | JP-2004530208-A |
titleOfInvention | Genetic algorithm optimization method |
abstract | The invention includes a method for selecting a sensor from a sensor network to track at least one target, the method comprising defining an individual in a genetic algorithm configuration having n chromosomes, Each chromosome represents one sensor; defining an adaptation function based on desired attributes of the tracking; selecting one or more individuals for inclusion in the initial population; Executing the defined convergence criterion until a defined convergence criterion is met, wherein the execution of the genetic algorithm comprises selecting the highest fitness individual from the population, selecting a random individual from the population, and It has the step of creating offspring from the most adaptive and randomly selected individuals. Another embodiment of the present invention includes another method for selecting a sensor from a sensor network to track at least one target, the method comprising a genetic algorithm configuration having n chromosomes. Defining an individual, wherein each chromosome represents one sensor, defining an adaptive function based on desired attributes of the tracking, selecting one or more individuals for inclusion in the initial population. Executing the genetic algorithm in the population until a defined convergence criterion is satisfied, wherein the execution of the genetic algorithm comprises selecting the most fitness individual from the population, and A step of producing offspring from a high-degree individual, wherein the generation of offspring occurs only through mutation, and i Only mutated in any one mutation, i is has a step with a value of n-1 to 2. The present invention also includes a network of sensors for tracking an object, wherein the number of sensors N, the means by which the N sensors communicate with the controller, and utilizing one of the methods of the present invention. Includes a controller capable of controlling and managing N sensors. [Selection diagram] Fig. 1 |
priorityDate | 2001-04-06-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
Predicate | Subject |
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isDiscussedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID7155 http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID407264896 |
Total number of triples: 13.