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11:53
Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
Published on: December 10, 2012
[Evolution of life cycle: models based on optimization of energy allocation]
1Dept. of General Ecology, Biological Faculty, M.V. Lomonosov Moscow State University, Moscow 119899, Russia. AT@ATeriokhin.home.bio.msu.ru
Zhurnal Obshchei Biologii
|September 25, 2001
Summary
This study explores life history evolution using optimal control theory to explain resource allocation. It provides ecological explanations for aging, growth patterns, and human lifespan differences.
Area of Science:
- Evolutionary Ecology
- Mathematical Biology
Context:
- Optimization approaches are central to modern evolutionary ecology.
- Life history evolution involves complex resource allocation strategies.
Purpose:
- To formulate evolutionary optimization as a problem of optimal resource sharing using optimal control theory.
- To provide evolutionary ecological explanations for empirical observations in life history.
Summary:
- The study models resource allocation (growth, reproduction, repair, maintenance) using the Malthusian parameter as an optimality criterion.
- This framework explains phenomena like age-related growth attenuation (Bertalanffi's law) and aging acceleration (Gompertz's law).
- It also addresses human sexual dimorphism in lifespan, age, and maturity size.
Impact:
- Offers a unified mathematical framework for understanding diverse life history traits.
- Connects theoretical models with well-established empirical laws in biology.
- Provides insights into the evolutionary basis of aging and developmental patterns.
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