The consideration of urban ecosystem services becomes increasingly important when planning compact cities. We implement a multi-objective optimization approach to support decision-makers in their efforts develop green and dense Embedded participatory process, the applied genetic algorithm allows us assess spatial tradeoffs between compactness. model is embedded decision system for interactive a...

The purpose of this problem is to choose a set of project activities for crashing, in a way that the expected project time, cost and risk are minimized and the expected quality is maximized. In this problem, each project activity can be performed with a specific executive mode. Each executive mode is characterized with four measures, namely the expected time, cost, quality and risk. In this pap...

The importance of autonomous marine vehicles is increasing in a wide range ocean science and engineering applications. Multi-objective optimization, where trade-offs between multiple conflicting objectives are achieved (such as minimizing expected mission time, energy consumption, environmental harvesting), crucial for planning optimal routes stochastic dynamic environments. We develop multi-ob...