optimization problems. These optimization problems combine aspects of traditional cutting problems and traditional scheduling and …

The optimization of looped water distribution systems is a complex problem as the pipe flows are unknown variables … as linear programming, non-linear programming, global optimization methods and meta-heuristic approaches, a totally …

optimization-based approaches. For this purpose, the RenewIslands method has been integrated into a superstructure …-based optimization approach. The resulting hybrid approach consists of two steps: First, heuristic-based equipment preselection …-based optimization to determine the optimal renewable energy system. The heuristic preselection systematically avoids excessively large …

customers to design a new product such that market share is maximized. The authors present a new optimization framework for this …

evolutionary variables, which evolve with the genetic operators, and the optimization variables, which are derived by solving … corresponding optimization problems. (2) The new algorithm introduces the concept of Capacity Threshold and calculates the Set of …

optimization of the lag structure over the whole set of possible multivariate lag structures with regard to a given information … criterion, e.g. the Hannan-Quinn estimator or Akaike's final prediction error criterion. The optimization is performed by the … heuristic multiple purpose optimization algorithm Threshold Accepting which proved to be very successful for discrete …

Optimization of an agent-based simulation (ABS) bears specific challenges. It is demonstrated in this paper that … mainstream simulation-based optimization (SBO) approaches often do not perform well in such a setting, sometimes hardly … neglected so far, but should structurally also be universally applicable for other simulation-based optimization problems as …