AIMC Topic: Biological Evolution
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TLBO-Based Adaptive Neurofuzzy Controller for Mobile Robot Navigation in a Strange Environment.
Computational intelligence and neuroscience
Mar 5, 2018
This work investigates the possibility of using a novel evolutionary based technique as a solution for the navigation problem of a mobile robot in a strange environment which is based on Teaching-Learning-Based Optimization. TLBO is employed to train...
Supervised Machine Learning for Population Genetics: A New Paradigm.
Trends in genetics : TIG
Jan 10, 2018
As population genomic datasets grow in size, researchers are faced with the daunting task of making sense of a flood of information. To keep pace with this explosion of data, computational methodologies for population genetic inference are rapidly be...
Robot life: simulation and participation in the study of evolution and social behavior.
History and philosophy of the life sciences
Jan 3, 2018
This paper explores the case of using robots to simulate evolution, in particular the case of Hamilton's Law. The uses of robots raises several questions that this paper seeks to address. The first concerns the role of the robots in biological resear...
Robustness in living organisms is homeostasis.
Seminars in immunology
Dec 16, 2017
In order to survive and reproduce, living organisms must be robust, tolerate injuries and undergo repair. Robustness in living organisms compares to robustness in human inventions, such as buildings and machines, which have to withstand occasional da...
Selection plays the hand it was dealt: evidence that human adaptation commonly targets standing genetic variation.
Genome biology
Aug 1, 2017
Using a powerful machine learning approach, a recent study of human genomes has revealed widespread footprints of recent positive selection on standing genetic variation.
A time series driven decomposed evolutionary optimization approach for reconstructing large-scale gene regulatory networks based on fuzzy cognitive maps.
BMC bioinformatics
May 8, 2017
BACKGROUND: Reconstructing gene regulatory networks (GRNs) from expression data plays an important role in understanding the fundamental cellular processes and revealing the underlying relations among genes. Although many algorithms have been propose...
Exploiting Linkage Information and Problem-Specific Knowledge in Evolutionary Distribution Network Expansion Planning.
Evolutionary computation
Apr 7, 2017
This article tackles the Distribution Network Expansion Planning (DNEP) problem that has to be solved by distribution network operators to decide which, where, and/or when enhancements to electricity networks should be introduced to satisfy the futur...
How evolution learns to generalise: Using the principles of learning theory to understand the evolution of developmental organisation.
PLoS computational biology
Apr 6, 2017
One of the most intriguing questions in evolution is how organisms exhibit suitable phenotypic variation to rapidly adapt in novel selective environments. Such variability is crucial for evolvability, but poorly understood. In particular, how can nat...
Evolution of Joint-Level Control for Quadrupedal Locomotion.
Artificial life
Jan 31, 2017
We investigate a hierarchical approach to robot control inspired by joint-level control in animals. The method combines a high-level controller, consisting of an artificial neural network (ANN), with joint-level controllers based on digital muscles. ...
A Guiding Evolutionary Algorithm with Greedy Strategy for Global Optimization Problems.
Computational intelligence and neuroscience
May 18, 2016
A Guiding Evolutionary Algorithm (GEA) with greedy strategy for global optimization problems is proposed. Inspired by Particle Swarm Optimization, the Genetic Algorithm, and the Bat Algorithm, the GEA was designed to retain some advantages of each me...
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