This paper offers a definition of sustainable development from an ecological economics perspective. For this, it begins with a historical analysis of the sustainable development concept from its origins as eco-development to its present formulation as green economy. it follows an assessment of the weak sustainability concept premises which allows for the neoclassical environmental economics not...

Environmental issues will continue to be of great importance in the XXI Century. For they affect health, drive production costs up (short and long term) and are felt across borders, making them a global problem. In addition, ecological problems are fairly complex, involving many physical, human and socioeconomic factors that often interact with each other. Therefore, building tractable mathemat...

We investigate the use of partial functions, fitness sharing and committee learning in genetic programming. The primary intended application of the work is in learning spatial relationships for ecological modelling. The approaches are evaluated using a well-studied ecological modelling problem, the greater glider population density problem. Combinations of the three treatments (partial function...

Although the ecological tradition tends to favour a substantive role for non-market institutions in securing objectives such as environmental sustainability, Green theorists have paid relatively little attention to the important challenge posed to such proposals by the promarket arguments of Austrian Economics. The methods of Ecological Economics, such as multiple criteria evaluation, offer imp...

Ecological consequences of depleted uranium (DU) released to the environment as a result of military use of DU munitions were appraised by reviewing pertinent literature. Estimates were based upon ecosystem responses to natural uranium, which is more soluble and more toxic than DU. It was concluded that the major ecological hazard from expended uranium munitions will be chemical toxicity rather...

This paper investigates the use of partial functions, fitness sharing and committee learning in genetic programming. The primary intended application of the work is in learning spatial relationships for ecological modelling. The approaches are evaluated using a well-studied ecological modelling problem, the greater glider population density problem. Combinations of the three treatments (partial...

Ecology studies biodiversity in its variety and complexity. It describes how species distribute and perform in response to environmental changes. Ecological processes and structures are highly complex and adaptive. In order to quantify emerging ecological patterns and investigate their hidden mechanisms, we need to rely on the simplicity of mathematical language. This becomes especially apparen...