This paper investigates the use of a multi-objective approach for evolving artificial neural networks that act as controllers for the legged locomotion of a 3-dimensional, artificial quadruped creature simulated in a physics-based environment. The Pareto-frontier Differential Evolution (PDE) algorithm is used to generate a pareto optimal set of artificial neural networks that optimizes the conf...

Reliability analysis for liquefied natural gas (LNG) pipeline network brings researchers huge challenges because the system experience multiple dependent competing failure processes. Based on system reliability R(t) and time to failure distribution f(t) analyzed from system failure modes and mechanisms, we can generate LNG pipeline life data. Different maintenance policies can be considered as ...

Minimum Spanning Tree (MST) problem is of high importance in network optimization. The multi-criteria MST (mc-MST) is a more realistic representation of the practical problem in the real-world, but it is diicult for the traditional network optimization technique to deal with. In this paper, a genetic algorithm (GA) approach is developed to deal with this problem. Without neglecting its network ...

This paper investigates the use of a multi-objective approach for evolving artificial neural networks that act as controllers for the legged locomotion of a quadrupedal robot simulated in a 3-dimensional, physics-based environment. The Pareto-frontier Differential Evolution (PDE) algorithm is used to generate a Pareto optimal set of artificial neural networks that optimize the conflicting objec...

Pareto-optimal power-performance system configurations can improve performance for a power budget or reduce power for a performance target, both leading to energy savings. We develop a new power-performance management framework that seeks to operate at the pareto-optimal frontier for dynamically reconfigurable systems, focusing on singlenode reconfigurations in this paper. Our framework uses ne...

While designing dependable systems, a large number of asset combinations (system configurations) with contrary quality objectives needs to be investigated. Basically, each feasible configuration should be investigated. For fault-tolerant embedded systems this problem is extended by anticipating hardware faults leading to changed deployments of stressed resources in redundant constellations. The...