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Genetic Programming

by John R. Koza , 1997
"... Introduction Genetic programming is a domain-independent problem-solving approach in which computer programs are evolved to solve, or approximately solve, problems. Genetic programming is based on the Darwinian principle of reproduction and survival of the fittest and analogs of naturally occurring ..."
Abstract - Cited by 1056 (12 self) - Add to MetaCart
Introduction Genetic programming is a domain-independent problem-solving approach in which computer programs are evolved to solve, or approximately solve, problems. Genetic programming is based on the Darwinian principle of reproduction and survival of the fittest and analogs of naturally occurring

The struggle to govern the commons

by Thomas Dietz, Elinor Ostrom, Paul C. Stern - Science , 2003
"... Human institutions—ways of organizing activities—affect the resilience of the environ-ment. Locally evolved institutional arrangements governed by stable communities and buffered from outside forces have sustained resources successfully for centuries, al-though they often fail when rapid change occu ..."
Abstract - Cited by 661 (17 self) - Add to MetaCart
-mand for natural resources and environmen-tal services, stemming from growth in human population and per capita resource consump-

Multiobjective Optimization Using Nondominated Sorting in Genetic Algorithms

by N. Srinivas, Kalyanmoy Deb - Evolutionary Computation , 1994
"... In trying to solve multiobjective optimization problems, many traditional methods scalarize the objective vector into a single objective. In those cases, the obtained solution is highly sensitive to the weight vector used in the scalarization process and demands the user to have knowledge about t ..."
Abstract - Cited by 539 (5 self) - Add to MetaCart
the underlying problem. Moreover, in solving multiobjective problems, designers may be interested in a set of Pareto-optimal points, instead of a single point. Since genetic algorithms(GAs) work with a population of points, it seems natural to use GAs in multiobjective optimization problems to capture a

Illusion and well-being: A social psychological perspective on mental health.

by Shelley E Taylor , Jonathon D Brown , Nancy Cantor , Edward Emery , Susan Fiske , Tony Green-Wald , Connie Hammen , Darrin Lehman , Chuck Mcclintock , Dick Nisbett , Lee Ross , Bill Swann , Joanne - Psychological Bulletin, , 1988
"... Many prominent theorists have argued that accurate perceptions of the self, the world, and the future are essential for mental health. Yet considerable research evidence suggests that overly positive selfevaluations, exaggerated perceptions of control or mastery, and unrealistic optimism are charac ..."
Abstract - Cited by 988 (20 self) - Add to MetaCart
should be addressed to Shelley E. Taylor, University of California, Department of Psychology, 405 Hilgard Avenue, Los Angeles, California 90024-1563. Our healthy individuals find it possible to accept themselves and their own nature without chagrin or complaint.. . . They can accept their own human

A fast and flexible statistical model for large-scale population genotype data: Applications to inferring missing genotypes and haplotype phase

by Paul Scheet, Matthew Stephens - American Journal of Human Genetics , 2005
"... We present a statistical model for patterns of genetic variation in samples of unrelated individuals from natural populations. This model is based on the idea that, over short regions, haplotypes in a population tend to cluster into groups of similar haplotypes. To capture the fact that, because of ..."
Abstract - Cited by 408 (10 self) - Add to MetaCart
We present a statistical model for patterns of genetic variation in samples of unrelated individuals from natural populations. This model is based on the idea that, over short regions, haplotypes in a population tend to cluster into groups of similar haplotypes. To capture the fact that, because

When Networks Disagree: Ensemble Methods for Hybrid Neural Networks

by Michael P. Perrone, Leaon N. Cooper , 1993
"... This paper presents a general theoretical framework for ensemble methods of constructing significantly improved regression estimates. Given a population of regression estimators, we construct a hybrid estimator which is as good or better in the MSE sense than any estimator in the population. We argu ..."
Abstract - Cited by 349 (3 self) - Add to MetaCart
This paper presents a general theoretical framework for ensemble methods of constructing significantly improved regression estimates. Given a population of regression estimators, we construct a hybrid estimator which is as good or better in the MSE sense than any estimator in the population. We

Alternative projections of mortality and disability by cause 1990–2020: Global Burden of Disease

by Christopher J L Murray, Alan D Lopez , 1997
"... depression, road-traffic accidents, cerebrovascular disease, chronic obstructive pulmonary disease, lower respiratory infections, tuberculosis, war injuries, diarrhoeal diseases, and HIV. Tobacco-attributable mortality is projected to increase from 3·0 million deaths in 1990 to 8·4 million deaths in ..."
Abstract - Cited by 336 (0 self) - Add to MetaCart
in 2020. Interpretation Health trends in the next 25 years will be determined mainly by the ageing of the world’s population, the decline in age-specific mortality rates from communicable, maternal, perinatal, and nutritional disorders, the spread of HIV, and the increase in tobacco-related mortality

A survey of outlier detection methodologies

by Victoria J. Hodge, Jim Austin - Artificial Intelligence Review , 2004
"... Abstract. Outlier detection has been used for centuries to detect and, where appropriate, remove anomalous observations from data. Outliers arise due to mechanical faults, changes in system behaviour, fraudulent behaviour, human error, instrument error or simply through natural deviations in populat ..."
Abstract - Cited by 312 (3 self) - Add to MetaCart
Abstract. Outlier detection has been used for centuries to detect and, where appropriate, remove anomalous observations from data. Outliers arise due to mechanical faults, changes in system behaviour, fraudulent behaviour, human error, instrument error or simply through natural deviations

From kuramoto to crawford: exploring the onset of synchronization in populations of coupled oscillators

by Steven H. Strogatz - Phys. D , 2000
"... The Kuramoto model describes a large population of coupled limit-cycle oscillators whose natural frequencies are drawn from some prescribed distribution. If the coupling strength exceeds a certain threshold, the system exhibits a phase transition: some of the oscillators spontaneously synchronize, w ..."
Abstract - Cited by 302 (4 self) - Add to MetaCart
The Kuramoto model describes a large population of coupled limit-cycle oscillators whose natural frequencies are drawn from some prescribed distribution. If the coupling strength exceeds a certain threshold, the system exhibits a phase transition: some of the oscillators spontaneously synchronize

The stages of economic growth.

by W W Rostow - Economic History Review , 2nd series 12, , 1959
"... JSTOR is a not-for-profit service that helps scholars, researchers, and students discover, use, and build upon a wide range of content in a trusted digital archive. We use information technology and tools to increase productivity and facilitate new forms of scholarship. For more information about J ..."
Abstract - Cited by 297 (0 self) - Add to MetaCart
-or permit only onceover change-in the variables most relevant to the process of economic growth. As modern economists have sought to merge classical production theory with Keynesian income analysis they have introduced the dynamic variables: population, technology, entrepreneurship, etc
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