AIMC Topic: Biological Evolution

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Artificial Metamorphosis: Evolutionary Design of Transforming, Soft-Bodied Robots.

Artificial life May 3, 2016
We show how the concept of metamorphosis, together with a biologically inspired model of multicellular development, can be used to evolve soft-bodied robots that are adapted to two very different tasks, such as being able to move in an aquatic and in...
Animals Larva Locomotion Biological Evolution Metamorphosis, Biological Robotics Models, Biological
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Two-Swim Operators in the Modified Bacterial Foraging Algorithm for the Optimal Synthesis of Four-Bar Mechanisms.

Computational intelligence and neuroscience Feb 28, 2016
This paper presents two-swim operators to be added to the chemotaxis process of the modified bacterial foraging optimization algorithm to solve three instances of the synthesis of four-bar planar mechanisms. One swim favors exploration while the seco...
Chemotaxis Biological Evolution Artificial Intelligence Computer Simulation Algorithms Bacterial Physiological Phenomena
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Particle Swarm Optimization with Double Learning Patterns.

Computational intelligence and neuroscience Dec 27, 2015
Particle Swarm Optimization (PSO) is an effective tool in solving optimization problems. However, PSO usually suffers from the premature convergence due to the quick losing of the swarm diversity. In this paper, we first analyze the motion behavior o...
Humans Learning Benchmarking Artificial Intelligence Computer Simulation Problem Solving Probability Biological Evolution Pattern Recognition, Automated
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Behavior Trees for Evolutionary Robotics.

Artificial life Nov 25, 2015
Evolutionary Robotics allows robots with limited sensors and processing to tackle complex tasks by means of sensory-motor coordination. In this article we show the first application of the Behavior Tree framework on a real robotic platform using the ...
Neural Networks, Computer Robotics Biological Evolution
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Open Issues in Evolutionary Robotics.

Evolutionary computation Nov 18, 2015
One of the long-term goals in evolutionary robotics is to be able to automatically synthesize controllers for real autonomous robots based only on a task specification. While a number of studies have shown the applicability of evolutionary robotics t...
Biological Evolution Computer Simulation Robotics
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An Enhanced Differential Evolution Algorithm Based on Multiple Mutation Strategies.

Computational intelligence and neuroscience Nov 1, 2015
Differential evolution algorithm is a simple yet efficient metaheuristic for global optimization over continuous spaces. However, there is a shortcoming of premature convergence in standard DE, especially in DE/best/1/bin. In order to take advantage ...
Computer Simulation Algorithms Mutation Humans Pattern Recognition, Automated Decision Support Techniques Artificial Intelligence Biological Evolution
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Extending XCS with Cyclic Graphs for Scalability on Complex Boolean Problems.

Evolutionary computation Sep 25, 2015
A main research direction in the field of evolutionary machine learning is to develop a scalable classifier system to solve high-dimensional problems. Recently work has begun on autonomously reusing learned building blocks of knowledge to scale from ...
Biological Evolution Machine Learning Algorithms Humans Artificial Intelligence
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An Enhanced Differential Evolution with Elite Chaotic Local Search.

Computational intelligence and neuroscience Aug 24, 2015
Differential evolution (DE) is a simple yet efficient evolutionary algorithm for real-world engineering problems. However, its search ability should be further enhanced to obtain better solutions when DE is applied to solve complex optimization probl...
Algorithms Nonlinear Dynamics Computer Simulation Humans Biological Evolution Artificial Intelligence
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Evolution of Self-Organized Task Specialization in Robot Swarms.

PLoS computational biology Aug 6, 2015
Division of labor is ubiquitous in biological systems, as evidenced by various forms of complex task specialization observed in both animal societies and multicellular organisms. Although clearly adaptive, the way in which division of labor first evo...
Artificial Intelligence Animals Task Performance and Analysis Ants Social Behavior Models, Biological Computational Biology Biological Evolution Work Robotics
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Toward Synthesizing Our Knowledge of Morphology: Using Ontologies and Machine Reasoning to Extract Presence/Absence Evolutionary Phenotypes across Studies.

Systematic biology May 26, 2015
The reality of larger and larger molecular databases and the need to integrate data scalably have presented a major challenge for the use of phenotypic data. Morphology is currently primarily described in discrete publications, entrenched in noncompu...
Biological Evolution Amphibians Biological Ontologies Classification Phenotype Computational Biology Animals Data Interpretation, Statistical
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