The European air traffic flow management problem poses particular challenges on optimization technology as it requires detailed modelling and rapid online optimization capabilities. Constraint programming proved successful in addressing these challenges for departure time slot allocation by offering fine-grained modelling of resource constraints and fast allocation through heuristic-repair stra...

Industrial utility systems, traditionally the "poor forgotten cousin" of the processing industry, are now receiving the attention they deserve. While the thermodynamics and process models of utility systems are well established, the optimization of utility systems typically involves solving large-scale optimization problems including integer constraints, and hence are less commonly tackled. The...

abstract: this paper presents dynamic modelling and control of a linear prismatic series of elastic actuator. the capability of generating large torques is why this actuator is increasingly used in human-assistive robotic systems. due to having human in the loop, the actuator requires precise control. a fractional pid controller known for its improved performance is used for the control, due to...

Goel’s Okomtou model is based on the Exponential model and simple non-homogeneous Poisson process (NHPP) model. Some optimization technique has been discussed which can be used to optimize the Goel’s Okomtou models. Simulated Annealing (SA) is a heuristic optimization modelling technique that can been applied to solve many difficult problems in the various fields such as scheduling, modelling e...

An integrated part of modern design practice in both engineering and industry is simulation and optimization. Significant challenges still exist, though huge progress has been made in the last few decades. This 5th workshop on Computational Optimization, Modelling and Simulation (COMS 2014) at ICCS 2014 will summarize the latest developments of optimization and modelling and their applications ...

This paper proposes a novel modelling and optimization approach for steady state and transient performance tune-up of an engine at idle speed. In terms of modelling, Latin hypercube sampling and multiple-input and multiple-output (MIMO) least-squares support vector machines (LS-SVMs) are proposed to build an engine idle-speed model based on experimental sample data. Then, a genetic algorithm (G...

The paper deals with surrogate modelling, a modern approach to the optimization of empirical objective functions. The approach leads to a substantial decrease of time and costs of evaluation of the objective function, a property that is particularly attractive in evolutionary optimization. In the paper, an extension of surrogate modelling with regression boosting is proposed. Such an extension ...

We describe some applications of mathematical optimization techniques to yacht performance analysis. Applications include sail trim optimization in wind tunnels, match race modelling under uncertainty, and America’s Cup design optimization under uncertain weather conditions.