Multi-objective optimisation under deep uncertainty by Shavazipour, Babooshka

“…This problem is formulated as a Scenario-Based Mixed-Integer Two-Stage Multi-Objective Optimisation problem and solved by utilising the Generalised Goal Programming Approach. …”
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Multi-objective optimisation using the cross-entropy method in CO gas management at a South African ilmenite smelter by Stadler, Johan George

Subjects: “…Multi-objective optimisation…”
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A multi-objective optimisation suite for Tecnomatix Plant Simulation by Bamporiki, Toussaint

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An integrated framework for multi-objective decision support in retail inventory management by Zietsman, Hans Jurie

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Applying the cross-entropy method in multi-objective optimisation of dynamic stochastic systems by Bekker, James

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The planning and optimisation of a supply chain network under uncertainty by Cole, Barrie Michael

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Ant colony optimisation algorithms for solving multi-objective power-aware metrics for mobile ad hoc networks

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Obstetric-risk objects: a multi-site, feminist ethnography of private-sector obstetric, maternal and unborn, caring concerns in Cape Town by Daniels, Nicole Miriam

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Operational cost and emissions minimisation of a multi-microgrid system through energy management

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Auto-bandwidth control in dynamically reconfigured hybrid-SDN MPLS networks by Brandt, Angus Daniel

“…The implemented mixed-integer linear programming formulation using the minimisation of maximum link utilisation and minimum link cost objective functions, combined with the programmability of the hybrid SDN network allows for source to destination demand fluctuations. …”
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The design of physical and logical topologies for wide-area WDM optical networks

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Joint call admission control incorporating pricing for congestion control to enhance QoS and ensure revenue for network operators in next generation wireless networks by Kabahuma, Sarah

“…A number of JCAC algorithms have been proposed in the literature with the objective of enabling efficient utilisation of the radio resources and ensuring that required QoS requirements are met . …”
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A thermofluid network-based methodology for integrated simulation of heat transfer and combustion in a pulverized coal-fired furnace by van Der Meer, Willem Arie

“…Coal-fired power plant boilers consist of several complex subsystems that all need to work together to ensure plant availability, efficiency and safety, while limiting emissions. Analysing this multi-objective problem requires a thermofluid process model that can simulate the water/steam cycle and the coal/air/flue gas cycle for steady-state and dynamic operational scenarios, in an integrated manner. …”
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Resource-constrained scheduling for construction projects by Griebenow, Margaretha Aletta

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Efficient radio resource management in integrated terrestrial and non-terrestrial networks by Birabwa, Denise Joanitah

“…First, the research formulates the user association and resource allocation problem in the ITNTN as a multi-objective optimisation problem (MOOP) that jointly maximises the total data rate of the ITNTN while minimising the probability of mobility-induced handoffs. …”
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An investigation into the style and asset class adjusted performance of South African multi-asset funds by Richardson, Luke A.C.

“…Such an analysis assists in identifying unit trust manager skill, but a further consideration is how to combine unit trusts in a suitable manner, to this end portfolio construction tools are utilised to meet illustrative client objectives in a multi-asset context. …”
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Computer-assisted analysis of Namibian land reform policy by Okafor, Uzochukwu Godsway Ojo

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The effect of fatigue protocols on knee control during functional activities by Pretorius, Jaco

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Designing an optimum shipping tax regime by applying an updated multi-analytical framework by Hitchens, Barry Grant

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AI-based hybrid optimisation of multi-megawatt scale permanent magnet synchronous generators for offshore wind energy capture by Lilla, Abdurahman Daleel

“…The initial stage (STAGE I) of the hybrid optimisation utilised the DE algorithm. The objective function was set to reduce the initial cost (!"…”
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