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Results 11 - 20
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18,547
Mosaic analysis with a repressible cell marker for studies of gene function in neuronal morphogenesis.
- Neuron
, 1999
"... We have modified an FLP/FRT-based genetic mosaic system to label either neurons derived from a common progenitor or isolated single neurons, in the Drosophila CNS. These uniquely labeled neurons can also be made homozygous for a mutation of interest within an otherwise phenotypically wild-type brai ..."
Abstract
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Cited by 455 (22 self)
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We have modified an FLP/FRT-based genetic mosaic system to label either neurons derived from a common progenitor or isolated single neurons, in the Drosophila CNS. These uniquely labeled neurons can also be made homozygous for a mutation of interest within an otherwise phenotypically wild
2.3. Farmers ’ Land Allocation Decision 6
, 2005
"... Dissertation Prospectus Identifying farmers ’ incentives to maintain crop genetic diversity: ..."
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Dissertation Prospectus Identifying farmers ’ incentives to maintain crop genetic diversity:
Evolving 3D morphology and behavior by competition
- Proceedings of Artificial Life IV
, 1994
"... This paper describes a system for the evolution and co-evolution of virtual creatures that compete in physically simulated three-dimensional worlds. Pairs of individuals enter one-on-one contests in which they contend to gain control of a common resource. The winners receive higher relative fitness ..."
Abstract
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Cited by 439 (0 self)
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scores allowing them to survive and reproduce. Realistic dynamics simulation including gravity, collisions, and friction, restricts the actions to physically plausible behaviors. The morphology of these creatures and the neural systems for controlling their muscle forces are both genetically determined
A Niched Pareto Genetic Algorithm for Multiobjective Optimization
- IN PROCEEDINGS OF THE FIRST IEEE CONFERENCE ON EVOLUTIONARY COMPUTATION, IEEE WORLD CONGRESS ON COMPUTATIONAL INTELLIGENCE
, 1994
"... Many, if not most, optimization problems have multiple objectives. Historically, multiple objectives have been combined ad hoc to form a scalar objective function, usually through a linear combination (weighted sum) of the multiple attributes, or by turning objectives into constraints. The genetic a ..."
Abstract
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Cited by 407 (6 self)
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Many, if not most, optimization problems have multiple objectives. Historically, multiple objectives have been combined ad hoc to form a scalar objective function, usually through a linear combination (weighted sum) of the multiple attributes, or by turning objectives into constraints. The genetic
Approximating the nondominated front using the Pareto Archived Evolution Strategy
- EVOLUTIONARY COMPUTATION
, 2000
"... We introduce a simple evolution scheme for multiobjective optimization problems, called the Pareto Archived Evolution Strategy (PAES). We argue that PAES may represent the simplest possible nontrivial algorithm capable of generating diverse solutions in the Pareto optimal set. The algorithm, in its ..."
Abstract
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Cited by 321 (19 self)
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of the Niched Pareto Genetic Algorithm and the Nondominated Sorting Genetic Algorithm over a diverse suite of six test functions. Results are analyzed and presented using techniques that reduce the attainment surfaces generated from several optimization runs into a set of univariate distributions. This allows
Genetic Algorithms, Noise, and the Sizing of Populations
- COMPLEX SYSTEMS
, 1991
"... This paper considers the effect of stochasticity on the quality of convergence of genetic algorithms (GAs). In many problems, the variance of building-block fitness or so-called collateral noise is the major source of variance, and a population-sizing equation is derived to ensure that average sig ..."
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Cited by 276 (85 self)
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This paper considers the effect of stochasticity on the quality of convergence of genetic algorithms (GAs). In many problems, the variance of building-block fitness or so-called collateral noise is the major source of variance, and a population-sizing equation is derived to ensure that average
Niching Methods for Genetic Algorithms
, 1995
"... Niching methods extend genetic algorithms to domains that require the location and maintenance of multiple solutions. Such domains include classification and machine learning, multimodal function optimization, multiobjective function optimization, and simulation of complex and adaptive systems. This ..."
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Cited by 238 (1 self)
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Niching methods extend genetic algorithms to domains that require the location and maintenance of multiple solutions. Such domains include classification and machine learning, multimodal function optimization, multiobjective function optimization, and simulation of complex and adaptive systems
Crop
"... All crop plants are polyploid and some genomes have been duplicated more recently than others. Advancements in cytogenetic and molecular tools, including high-density genetic mapping, fl orescent in situ hybridization, and genome and EST sequencing, have enabled new insights into genome composition ..."
Abstract
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All crop plants are polyploid and some genomes have been duplicated more recently than others. Advancements in cytogenetic and molecular tools, including high-density genetic mapping, fl orescent in situ hybridization, and genome and EST sequencing, have enabled new insights into genome composition
Multiobjective Optimization and Multiple Constraint Handling with Evolutionary Algorithms-Part I: A Unified Formulation
- IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
, 1998
"... In optimization, multiple objectives and constraints cannot be handled independently of the underlying optimizer. Requirements such as continuity and differentiability of the cost surface add yet another conflicting element to the decision process. While ``better'' solutions should be rate ..."
Abstract
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Cited by 232 (13 self)
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algorithm based on the proposed decision strategy. Niche formation techniques are used to promote diversity among preferable candidates, and progressive articulation of preferences is shown to be possible as long as the genetic algorithm can recover from abrupt changes in the cost landscape.
Autonomous mental development by robots and animals
"... How does one create an intelligent machine? This problem has proven difficult. Over the past several decades, scientists have taken one of three approaches: In the first, which is knowledge-based, an intelligent machine in a laboratory is directly programmed to perform a given task. In a second, lea ..."
Abstract
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Cited by 227 (38 self)
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, learning-based approach, a computer is "spoon-fed " human-edited sensory data while the machine is controlled by a task-specific learning program. Finally, by a "genetic search, " robots have evolved through generations by the principle of survival of the fittest, mostly
Results 11 - 20
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18,547
