Designing neural networks using genetic algorithms
Proceedings of the third international conference on Genetic algorithms
Biological Cybernetics
Learning internal representations by error propagation
Parallel distributed processing: explorations in the microstructure of cognition, vol. 1
SIGGRAPH '94 Proceedings of the 21st annual conference on Computer graphics and interactive techniques
Artificial minds
Patterns of functional damage in neural network models of associative memory
Neural Computation
Evolutionary neurocontrollers for autonomous mobile robots
Neural Networks - Special issue on neural control and robotics: biology and technology
Introduction to artificial life
Introduction to artificial life
Understanding intelligence
Evolutionary techniques in physical robotics
Creative evolutionary systems
Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
An Behavior-based Robotics
Multi-Objective Optimization Using Evolutionary Algorithms
Multi-Objective Optimization Using Evolutionary Algorithms
Autonomous Robots
Fitness landscapes and evolvability
Evolutionary Computation
Running Across the Reality Gap: Octopod Locomotion Evolved in a Minimal Simulation
Proceedings of the First European Workshop on Evolutionary Robotics
Evolution of Spiking Neural Controllers for Autonomous Vision-Based Robots
ER '01 Proceedings of the International Symposium on Evolutionary Robotics From Intelligent Robotics to Artificial Life
A Memetic Pareto Evolutionary Approach to Artificial Neural Networks
AI '01 Proceedings of the 14th Australian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence
A method for isolating morphological effects on evolved behaviour
ICSAB Proceedings of the seventh international conference on simulation of adaptive behavior on From animals to animats
An evolutionary approach to quantify internal states needed for the woods problem
ICSAB Proceedings of the seventh international conference on simulation of adaptive behavior on From animals to animats
Localization of function via lesion analysis
Neural Computation
Genetic redundancy in evolving populations of simulated robots
Artificial Life
Multi-objectivity for brain-behavior evolution of a physically-embodied organism
ICAL 2003 Proceedings of the eighth international conference on Artificial life
Speeding up backpropagation using multiobjective evolutionary algorithms
Neural Computation
Evolutionary Robotics: The Biology, Intelligence, and Technology of Self-Organizing Machines
Evolutionary Robotics: The Biology, Intelligence, and Technology of Self-Organizing Machines
Approximating the Nondominated Front Using the Pareto Archived Evolution Strategy
Evolutionary Computation
Information Characteristics and the Structure of Landscapes
Evolutionary Computation
Evolving modular genetic regulatory networks
CEC '02 Proceedings of the Evolutionary Computation on 2002. CEC '02. Proceedings of the 2002 Congress - Volume 02
Searching under multi-evolutionary pressures
EMO'03 Proceedings of the 2nd international conference on Evolutionary multi-criterion optimization
Evolution of central pattern generators for bipedal walking in areal-time physics environment
IEEE Transactions on Evolutionary Computation
An evolutionary artificial neural networks approach for breast cancer diagnosis
Artificial Intelligence in Medicine
Emergence of communication in competitive multi-agent systems: a pareto multi-objective approach
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
A Comprehensive Overview of the Applications of Artificial Life
Artificial Life
Multi-objective evolution of robot neuro-controllers
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Overcoming the bootstrap problem in evolutionary robotics using behavioral diversity
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
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In this paper, we investigate the use of a self-adaptive Pareto evolutionary multiobjective optimization (EMO) approach for evolving the controllers of virtual embodied organisms. The objective of this paper is to demonstrate the trade-off between quality of solutions and computational cost. We show empirically that evolving controllers using the proposed algorithm incurs significantly less computational cost when compared to a self-adaptive weighted sum EMO algorithm, a self-adaptive single-objective evolutionary algorithm (EA) and a hand-tuned Pareto EMO algorithm. The main contribution of the self-adaptive Pareto EMO approach is its ability to produce sufficiently good controllers with different locomotion capabilities in a single run, thereby reducing the evolutionary computational cost and allowing the designer to explore the space of good solutions simultaneously. Our results also show that self-adaptation was found to be highly beneficial in reducing redundancy when compared against the other algorithms. Moreover, it was also shown that genetic diversity was being maintained naturally by virtue of the system's inherent multi-objectivity.