Evolutionary computation in zoology and ecology
@article{Boone2017EvolutionaryCI, title={Evolutionary computation in zoology and ecology}, author={Randall B. Boone}, journal={Current Zoology}, year={2017}, volume={63}, pages={675 - 686} }
Abstract Evolutionary computational methods have adopted attributes of natural selection and evolution to solve problems in computer science, engineering, and other fields. The method is growing in use in zoology and ecology. Evolutionary principles may be merged with an agent-based modeling perspective to have individual animals or other agents compete. Four main categories are discussed: genetic algorithms, evolutionary programming, genetic programming, and evolutionary strategies. In…
2 Citations
Assessing the effect of abiotic variables and zooplankton on picocyanobacterial dominance in two tropical mesotrophic reservoirs by means of evolutionary computation.
- Environmental ScienceWater research
- 2019
Inherited geomagnetic signposts can maintain migratory detours in changing geomagnetic landscapes
- GeologybioRxiv
- 2022
For many migratory species, inexperienced (naïve) individuals reach remote non-breeding areas independently using inherited headings and geomagnetic compass cues. naïve migrants are also proposed to…
References
SHOWING 1-10 OF 111 REFERENCES
PERSPECTIVE: COMPLEX ADAPTATIONS AND THE EVOLUTION OF EVOLVABILITY
- BiologyEvolution; international journal of organic evolution
- 1996
It is proposed that the genotype‐phenotype map can evolve by two main routes: epistatic mutations, or the creation of new genes, a common result for organismic design is modularity.
The emergence of insect protandry: a "natural" evolutionary computation application
- BiologyProceedings of 1997 IEEE International Conference on Evolutionary Computation (ICEC '97)
- 1997
The results indicate that evolutionary computation with fitness proportionate reproduction in negative frequency dependent situations (e.g., resource sharing contexts) leads to the rapid emergence of IFDs.
On the practical usage of genetic algorithms in ecology and evolution
- Computer Science
- 2012
While genetic algorithms offer great power and flexibility by drawing inspiration from evolutionary processes, they are (usually) not a faithful model of genetics or evolution.
Ecological uses for genetic algorithms: predicting fish distributions in complex physical habitats
- Environmental Science
- 1995
The Genetic Algorithm was a more effective predictor of trout distributions than other methods and also provided new insights into relationships between stream geomorphology and trout distributions.
An Evolutionary Algorithm for the Selection of Geographically Informative Species
- Environmental Science2006 IEEE Symposium on Computational Intelligence and Bioinformatics and Computational Biology
- 2006
This study demonstrates that the scheme presented for searching for a purely biologically-based distance that mimics geographic distance is both practical and a non-trivial evolutionary computation problem.
GA: A Package for Genetic Algorithms in R
- Computer Science
- 2013
The R package GA is described, a collection of general purpose functions that provide a flexible set of tools for applying a wide range of genetic algorithm methods, ranging from mathematical functions in one and two dimensions known to be hard to optimize with standard derivative-based methods, to some selected statistical problems which require the optimization of user defined objective functions.
Darwin or Lamarck? Future Challenges in Evolutionary Algorithms for Knowledge Discovery and Data Mining
- Computer ScienceInteractive Knowledge Discovery and Data Mining in Biomedical Informatics
- 2014
A short survey on the state-of-the-art of EAs, beginning with some background on the theory of evolution and contrasting the original ideas of Darwin and Lamarck is provided, and a short description of the usefulness of E as for Knowledge Discovery and Data Mining tasks is described.
Simulating Species Richness Using Agents with Evolving Niches, with an Example of Galápagos Plants
- Environmental Science
- 2010
A simulation of plant species richness patterns on 22 Galapagos Islands, Ecuador, as an exploration of the utility of evolutionary computation and an agent-based approach in biogeography research found it agreed very well with observed plantspecies richness.
Evolution of artificial ring species
- Biology2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence)
- 2008
This study attempts to create examples of artificial ring species using evolutionary algorithms using ISAc lists, a representation with self-organized and potentially complex genetics, to achieve a very high level of fitness with the Tartarus task.
Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence
- Biology
- 1992
Initially applying his concepts to simply defined artificial systems with limited numbers of parameters, Holland goes on to explore their use in the study of a wide range of complex, naturally occuring processes, concentrating on systems having multiple factors that interact in nonlinear ways.