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Optimization of reactive flow systems, e.g. coal and biomass combustion, gasification or partial oxidation, is usually a multi-parameter problem, while geometry configurations (e.g. reactor dimensions, burner dimensions) and operating conditions (e.g. fuel mass flow, reactor temperature, cooling capability) mainly determine the process efficiency and profitability. 

Electronic fuel injectors play an indispensable role in High Pressure Common Rail (HPCR) fuel injection systems and interest numerous researchers to improve their performance. This paper investigates the sensitivity of three fuel properties (the fuel density, bulk modulus and absolute viscosity) to the valve opening/closing delay and the valve opening/closing time.​

Planning the urban morphology of the built environment is a key issue in shifting to a climate adapted urban environment. This paper addresses an important threefold energy challenge of tropical cities: the major potential of harnessing solar energy as renewable resource for local electricity production and the energy-saving paradox of reducing the undesirable solar heat gains in buildings while providing satisfactory levels of daylight. It aims at measuring the effect size of urban form factors regarding these energy goals.

 It is a complex task to develop and optimize a high-performing haptic device, mainly because of the multi-domain and multi-criteria performance requirements for such devices.​ The general goal for the research presented in this paper is to further develop the previously proposed model-based framework and methodology into a situated and computationally efficient design framework for multiobjective optimization of haptic devices.

By using the GT-power software to establish the computing model of diesel engines and employing the modeFRONTIER multiobjective genetic algorithm (MOGA), this study carried out optimal research on performance indicators of diesel engines such as BSFC, NOX, soot, HC and CO, achieved the optimal solution to combination of injection parameters, and analyzed the relationship between optimal objective and fitness.​

A multidisciplinary optimization framework connecting the geometric model, aerodynamic model and structural model is performed on a wing shape with predefined loads on the wing. For global optimization, MOGA is used and for local optimization Simplex algorithm is used as the design variables are continuos.