Multi-stage production cost optimization of semi-rigid steel frames using genetic algorithms
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We present a method that exploits an information theoretic framework to extract optimized audio features using the video information. A simple measure of mutual information (MI) between the resulting audio features and the video ones allows to detect the a ...
This report presents a new methodological approach for the optimal design of energy integrated batch processes. The main emphasis is put on indirect and, to some extend, on direct heat exchange networks with the possibility of introducing closed or open st ...
We present and analyse a model of the combined choice of departure time and route in a congested road network. Using the property of equilibrium solutions that for each origin-destination pair the total cost associated with travel is identical for all trav ...
In this paper, we propose a cost model for running partic- ular component based applications on a computational Grid. This cost is evaluated by a metascheduler and negotiated with the user by a broker. A specific set of applications is considered: hybrid m ...
An analysis of unsupervised neural network models and the use of self-organizing maps in the real-time monitoring of power transformers was carried out. The application of genetic algorithms in a complex optimization problem, the allocation and parameters ...
Exergetic analysis is derived from the First and Second Laws of thermodynamics is shown to be an excellent tool to analyse and characterize industrial processes. A coherent link to pinch technology is shown which allows the designer to extend design consid ...
We present a new approach that is able to produce an increased fault tolerance in bio-inspired electronic circuits. In order to do so, we designed hardware-friendly genetic regulatory networks based on a bio-inspired hardware architecture called POEtic tis ...
This paper introduces a multi-objective EA, termed the Clustering Pareto Evolutionary Algorithm (CPEA). The CPEA finds and retains many local Pareto- optimal fronts, rather than just the global front as is the case of most multi- objective EAs found in the ...
Matching Pursuit is a greedy algorithmthat decomposes any signal into a linear expansion of waveforms taken from a redundant dictionary. Computing the projection of the signal on every element of the basis has a high computational cost. To reduce this comp ...
Concern for the environment has been steadily growing in recent years, and it is becoming more common to include environmental impact and pollution costs in the design problem along with construction, investment and operating costs. To further complicate m ...