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11,872
Comparison of Multiobjective Evolutionary Algorithms: Empirical Results
, 2000
"... In this paper, we provide a systematic comparison of various evolutionary approaches to multiobjective optimization using six carefully chosen test functions. Each test function involves a particular feature that is known to cause difficulty in the evolutionary optimization process, mainly in conver ..."
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Cited by 628 (41 self)
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In this paper, we provide a systematic comparison of various evolutionary approaches to multiobjective optimization using six carefully chosen test functions. Each test function involves a particular feature that is known to cause difficulty in the evolutionary optimization process, mainly
An Evolutionary Process for Autonomous Agents
"... Introduction This poster addresses an attempt to build an evolutionary process able to generate dynamical neural networks controlling an autonomous agent. Vocabulary and inspirations mainly come from biology, but we are aware that our model is an oversimplification of biological processes and entit ..."
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Introduction This poster addresses an attempt to build an evolutionary process able to generate dynamical neural networks controlling an autonomous agent. Vocabulary and inspirations mainly come from biology, but we are aware that our model is an oversimplification of biological processes
The Inequality Process As An Evolutionary Process
"... The Inequality Process (IP) is a competition process that models the dynamics of personal income and wealth at the micro (individual person) and macro (distribution) levels. At the micro level, it is a particle system. It has a macro model in terms of the parameters of the micro model, a gamma pdf t ..."
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production and over time variation in global mean wealth. The IP is a dynamic attractor for a population, maximizing wealth production, minimizing extinction risk. It is an evolutionary process in an interdependent population, a colony of organisms, in which each organism depends on the product of the whole
Evolutionary Processes in Finite Populations
, 2014
"... We consider the evolution of large but finite populations on arbitrary fitness landscapes. We describe the evolutionary process by a Markov, Moran process. We show that to O(1/N), the time-averaged fitness is lower for the finite population than it is for the infinite population. We also show that f ..."
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We consider the evolution of large but finite populations on arbitrary fitness landscapes. We describe the evolutionary process by a Markov, Moran process. We show that to O(1/N), the time-averaged fitness is lower for the finite population than it is for the infinite population. We also show
The evolutionary processes of canine coronaviruses
- Adv Virol
, 2011
"... Since the first identification of the virus in 1971, the disease caused by canine coronavirus (CCoV) has not been adequately investigated, and the role that the virus plays in canine enteric illness has not been well established. Only after the emergence in 2002 of SARS in human has new attention b ..."
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Cited by 2 (1 self)
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. This paper reports the evolutionary processes of CCoVs with a note onto recent diagnostic methods.
Preface: Dynamics of Evolutionary Processes
"... Starting with a brief historical introduction, we review recent results in the theory of evolutionary dynamics, emphasizing new mathematical and simulation methods that promise to provide experimental access to evolutionary phenomena. One impetus for these developments comes from a fresh look at evo ..."
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at evolutionary population dynamics from the computer science perspectives of stochastic search and adaptive computation. These applications of evolutionary processes are complemented by new theoretical approaches to Wright’s concept of adaptive landscapes—analyses that borrow from statistical physics
Genetic Programming
, 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 ..."
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Cited by 1056 (12 self)
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genetic operations such as crossover (sexual recombination) and mutation. John Holland's pioneering Adaptation in Natural and Artificial Systems (1975) described how an analog of the evolutionary process can be applied to solving mathematical problems and engineering optimization problems using what
Time and Knowability in Evolutionary Processes
"... Abstract: Historical sciences like evolutionary biology reconstruct past events by using the traces that the past has bequeathed to the present. The Markov Chain Convergence Theorem and the Data Processing Inequality describe how the mutual information between present and past is affected by how muc ..."
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Cited by 3 (1 self)
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Abstract: Historical sciences like evolutionary biology reconstruct past events by using the traces that the past has bequeathed to the present. The Markov Chain Convergence Theorem and the Data Processing Inequality describe how the mutual information between present and past is affected by how
Evolutionary Processes and History of Economics
, 2003
"... This papers addresses the evolutionary characteristics of social processes from a perspective of the history of economics. The case of Alchian's (1950) paper on 'Uncertainty and Evolution' and the ensuing debate is used to illustrate how actors' perception influenced developments ..."
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This papers addresses the evolutionary characteristics of social processes from a perspective of the history of economics. The case of Alchian's (1950) paper on 'Uncertainty and Evolution' and the ensuing debate is used to illustrate how actors' perception influenced
Results 1 - 10
of
11,872
