Abstract Molecular simulations are a powerful tool to complement and interpret ambiguous experimental data on biomolecules obtain structural models. Such data-assisted often rely parameters, the choice of which is highly non-trivial crucial performance. The key challenge weighting information with respect underlying physical model. We introduce FLAPS, self-adapting variant dynamic particle swar...

In many real-world applications, various optimization problems with conflicting objectives are very common. In this paper we employ Multi-Objective Evolutionary Algorithm based on Decomposition (MOEA/D), a newly developed method, beside Tabu Search (TS) accompaniment to achieve a new manner for solving multi-objective optimization problems (MOPs) with two or three conflicting objectives. This i...

This paper deals with a multi-objective optimization of a novel micro solar driven combined power and ejector refrigeration system (CPER). The system combines an organic Rankine cycle (ORC) with an ejector refrigeration cycle to generate electricity and cold capacity simultaneously. Major thermodynamic parameters, namely turbine inlet temperature, turbine inlet pressure, turbine back pressure, ...