A multiobjective optimization approach to smart growth in land development

A multiobjective optimization approach to the operation

A Synthetic Approach to Multiobjective Optimization

We propose a strategy for approximating Pareto optimal sets based on the global analysis framework proposed by Smale (Dynamical systems, Academic Press, New York (1973) 531– 544). We speak about synthetic approach because the optimal set is natively approximated by means of a compound geometrical object, i.e., a simplicial complex, rather than by an unstructured scatter of individual optima. Th...

Land Combat Scenario Planning: A Multiobjective Approach

The simulation of land combat operations is a complex task. The space of possibilities is exponential and the performance criteria are usually in conflict; thus finding a sweet spot in this complex search space is a hard task. This paper focuses on the effect of population size and mutation rate on the performance of NSGA–II, as the evolutionary multiobjective optimization technique, to decide ...

A genetic algorithm approach to multiobjective land use planning

This paper describes a class of spatial planning problems in which di,erent land uses have to be allocated across a geographical region, subject to a variety of constraints and con.icting management objectives. A goal programming/reference point approach to the problem is formulated, which leads however to a di/cult nonlinear combinatorial optimization problem. A special purpose genetic algorit...

An Efficient Sampling Approach to Multiobjective Optimization

This paper presents a new approach to multiobjective optimization based on the principles of probabilistic uncertainty analysis. At the core of this approach is an efficient nonlinear multiobjective optimization algorithm, Minimizing Number of Single Objective Optimization Problems (MINSOOP), to generate a true representation of the whole Pareto surface. Results show that the computational savi...