Evolutionary Algorithms and Thermo-Economic Optimisation of Energy Systems
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This paper proposes a scheme for generating optimal process plans for multi jobs in a networked based manufacturing system. Networked manufacturing offers several advantages in the current competitive atmosphere such as reducing short manufacturing cycle t ...
The aim of this study is to model and optimize a district energy system using the city of Geneva as a model. This will be done by using Energy Integration techniques together with efficient actions leading to CO2 emission reductions. This will be done usin ...
The design and operating of energy systems are key issues for matching the energy supply and consumption. Several optimization methods based on the Mixed Integer Linear Programming (MILP) have been developed for this purpose. However, due to the uncertaint ...
Energy-efficient design of multimedia embedded systems demands optimizations in both hardware and software. Software optimization has no received much attention, although modern multimedia applications exhibit high resource utilization. In order to efficie ...
A method of optimising the thermodynamic and economic performance of heliostat field within a solar tower thermal power plant has been developed. The method includes the generation of a heliostat field given a set of design variables, the assessment of its ...
Around three quarters of global resource consumption takes place in urban settlements, with corresponding adverse environmental consequences. According to population forecasts this situation will be exacerbated during the coming years. It is therefore impe ...
A method of optimising the thermodynamic and economic performance of a heliostat fieldwithin a solar tower thermal power plant has been developed. The method includes the generation of a heliostat field given a set of design variables, the assessment of it ...
This paper presents a new double hybridized genetic algorithm for optimizing the variable order in Reduced Ordered Binary Decision Diagrams. The first hybridization adopts embryonic chromosomes as prefixes of variable orders instead of complete variable or ...
In this paper we describe a new methodology for optimising building and urban geometric forms for the utilisation of solar irradiation, whether by passive or active means. For this we use a new evolutionary algorithm(a hybrid CMA-ES/HDE algorithm) to searc ...
We heuristically solve an evacuation problem with limited capacity shelters. An evolutionary learning algorithm is developed for the combined route- and shelter-assignment problem. It is complemented with a heuristic method for the fair minimization of she ...