AIMC Topic: Biological Evolution

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Guiding Neuroevolution with Structural Objectives.

Evolutionary computation Feb 15, 2019
The structure and performance of neural networks are intimately connected, and by use of evolutionary algorithms, neural network structures optimally adapted to a given task can be explored. Guiding such neuroevolution with additional objectives rela...
Algorithms Computer Simulation Biological Evolution Humans Neural Networks, Computer
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Multi-task learning improves ancestral state reconstruction.

Theoretical population biology Jan 11, 2019
We consider the ancestral state reconstruction problem where we need to infer phenotypes of ancestors using observations from present-day species. For this problem, we propose a multi-task learning method that uses regularized maximum likelihood to e...
Mammals Likelihood Functions Stochastic Processes Humans Animals Phylogeny Machine Learning Models, Biological Phenotype Biological Evolution Computer Simulation Learning
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Neuroevolution of a Modular Memory-Augmented Neural Network for Deep Memory Problems.

Evolutionary computation Nov 8, 2018
We present Modular Memory Units (MMUs), a new class of memory-augmented neural network. MMU builds on the gated neural architecture of Gated Recurrent Units (GRUs) and Long Short Term Memory (LSTMs), to incorporate an external memory block, similar t...
Humans Biological Evolution Deep Learning Models, Neurological Memory Neural Networks, Computer Algorithms
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An Optimization Framework of Multiobjective Artificial Bee Colony Algorithm Based on the MOEA Framework.

Computational intelligence and neuroscience Nov 1, 2018
The artificial bee colony (ABC) algorithm has become one of the popular optimization metaheuristics and has been proven to perform better than many state-of-the-art algorithms for dealing with complex multiobjective optimization problems. However, th...
Biomimetics Bees Biological Evolution Algorithms Humans Computer Simulation Artificial Intelligence Animals
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Optimal Synthesis of Four-Bar Linkage Path Generation through Evolutionary Computation with a Novel Constraint Handling Technique.

Computational intelligence and neuroscience Nov 1, 2018
This paper presents a novel constraint handling technique for optimum path generation of four-bar linkages using evolutionary algorithms (EAs). Usually, the design problem is assigned to minimize the error between desired and obtained coupler curves ...
Animals Biological Evolution Teaching Computer Simulation Learning Humans Handling, Psychological Machine Learning Algorithms
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Using Compact Coevolutionary Algorithm for Matching Biomedical Ontologies.

Computational intelligence and neuroscience Oct 8, 2018
Over the recent years, ontologies are widely used in various domains such as medical records annotation, medical knowledge representation and sharing, clinical guideline management, and medical decision-making. To implement the cooperation between in...
Biological Ontologies Biological Evolution Humans Algorithms
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Inferring locomotor behaviours in Miocene New World monkeys using finite element analysis, geometric morphometrics and machine-learning classification techniques applied to talar morphology.

Journal of the Royal Society, Interface Sep 26, 2018
The talus is one of the most commonly preserved post-cranial elements in the platyrrhine fossil record. Talar morphology can provide information about postural adaptations because it is the anatomical structure responsible for transmitting body mass ...
Skull Finite Element Analysis Mathematics Phylogeny Locomotion Platyrrhini Talus Models, Anatomic Biological Evolution Fossils Machine Learning Algorithms Biomechanical Phenomena Animals
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Evidence of Rentian Scaling of Functional Modules in Diverse Biological Networks.

Neural computation Jun 12, 2018
Biological networks have long been known to be modular, containing sets of nodes that are highly connected internally. Less emphasis, however, has been placed on understanding how intermodule connections are distributed within a network. Here, we bor...
Social Networking Information Services Models, Biological Nerve Net Biological Evolution Protein Interaction Maps Gene Regulatory Networks Humans Neural Networks, Computer Algorithms Animals
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Harnessing the evolutionary information on oxygen binding proteins through Support Vector Machines based modules.

BMC research notes May 11, 2018
OBJECTIVES: The arrival of free oxygen on the globe, aerobic life is becoming possible. However, it has become very clear that the oxygen binding proteins are widespread in the biosphere and are found in all groups of organisms, including prokaryotes...
Animals Hemocyanins Oxygen Hemerythrin Support Vector Machine Biological Evolution Carrier Proteins Hemeproteins
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Prediction of Apoptosis Protein's Subcellular Localization by Fusing Two Different Descriptors Based on Evolutionary Information.

Acta biotheoretica Mar 12, 2018
The apoptosis protein has a central role in the development and the homeostasis of an organism. Obtaining information about the subcellular localization of apoptosis protein is very helpful to understand the apoptosis mechanism and the function of th...
Databases, Protein Apoptosis Regulatory Proteins Biological Evolution Position-Specific Scoring Matrices Subcellular Fractions Humans Models, Theoretical Support Vector Machine Apoptosis Algorithms Computational Biology
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