System reliability optimization is often faced with imprecise and conflicting goals such as reducing the cost of the system and improving the reliability of the system. The decision making process becomes fuzzy and multi-objective. In this paper, we formulate the problem as a fuzzy multi-objective nonlinear program (FMOOP). A fuzzy multiobjective genetic algorithm approach (FMGA) is proposed fo...

The mass customisation paradigm, in combination with the volatility of globalised heterogeneous markets, directly affects industries towards realising efficient manufacturing network configurations. This research work aims to support the design and operation of manufacturing networks based on a multiobjective decision-making and simulation approach. The alternative network designs are evaluated...

We investigate the use of an Agent-based framework to identify and quantify the relationship between security and efficiency within airport terminals. In this framework, we define a novel Security Risk Assessment methodology that explicitly models attacker and defender behavior in a security scenario. It produces a security risk vector, quantifying the risks to the airport terminal. Efficiency ...

The interdisciplinary nature of complex design poses the challenge of computational burden due to complexity of the problem. In view of this a design methodology has been proposed in this work. The primary goal of the proposed methodology is to simplify and shorten the design process. Within this work a framework is presented in which modelling, multiobjective optimisation and multi criteria de...

governance in health is cited as one of the key factors in balancing the concerns of the government and public sector with the interests of civil society/private players, but often remains poorly described and operationalized. richard saltman and antonio duran look at two aspects in the search for new provider models in a context of health markets signalling liberalisation: (i) the role of the ...

This paper presents an interval valued goal programming approach for solving multiobjective fractional programming problems. In the model formulation of the problem, the interval-valued system constraints are converted in to equivalent crisp system. The interval valued fractional objective goals are transformed into linear goals by employing the iterative parametric method which is an extension...

An approach to constructing a Pareto front approximation to computationally expensive multiobjective optimization problems is developed. The approximation is constructed as a sub-complex of a Delaunay triangulation of a finite set of Pareto optimal outcomes to the problem. The approach is based on the concept of inherent nondominance. Rules for checking the inherent nondominance of complexes ar...

Multi-criterion quantum programming is a new paradigm of decision making for complex systems. Quantum-based multiobjective algorithm utilizes a new representation, called a Q-bit, for the probabilistic representation that is based on the concept of qubits. Evolutionary computing with Q-bit representation has a better characteristic of population diversity than other representations, since it ca...