optimization problem. In this respect, various approaches and methods are used to arrive to a viable solution. The paper reports … three approaches represented by three discreet optimization methods. The first one is back-tracing algorithm and serves as a … reference to verify functionality of the other two ones. The second method is optimization using genetic algorithms, and the …

newly developed framework is proposed to handle construction pollution using multi-objective optimization. The approach …-objective optimization, considering three objective functions (project duration, project cost and total pollution). The proposed application …

Genetic algorithms are a class of probabilistic optimization techniques that have proved useful in a wide variety of …

. Incorporation of this simulation model within an optimization-based management model is very complex and difficult. However, as an … alternative, it is possible to link a simulation model externally with an optimization-based management model. The GA …-based optimization approach is especially suitable for externally linking the numerical simulation model within the optimization model …

, groundwater quality has been impaired because of contamination. Here we present a multi-objective optimization framework for … optimization methods are tested. Constant scheduling where decision variables are held constant during the time of optimization …, and sequential scheduling where the optimization is performed stepwise for daily time steps. The latter is developed to …

In this paper, we introduce four new benchmark problems, which are based on rather common optimization issues of water … proposed set of benchmark problems is useful for evaluating heuristic optimization codes in the field of water resources …