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Methods of enhancing the MOO CEM algorithm
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Applying the cross-entropy method in multi-objective optimisation of dynamic stochastic systems
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Integration of ranking and selection methods with the multi-objective optimisation cross-entropy method
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Risk–constrained stochastic economic dispatch and demand response with maximal renewable penetration under renewable obligation
Published 2022Subjects: “…multi-objective optimisation…”
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Modelling and multi-objective optimisation of heat transfer characteristics and pressure drop of nanofluids in microtubes
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Assessment of pre-treatment technologies for bio-ethanol production using multi-objective optimisation
Published 2015Get full text
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Integrated renewable energy polygeneration networks: a multi-objective optimisation and game theoretic approach
Published 2025“…In the first case, a multi-objective function with an equal weighting between total annual cost and CO2 emissions is used. …”
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A multi-objective approach to incorporate indirect costs into optimisation models of waterborne sewer systems
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A study of reconfigurable manufacturing systems with computer simulation
Published 2011Subjects: “…Multi-objective optimization…”
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Optimal integration of solar home systems and appliance scheduling for residential homes under severe national load shedding
Published 2024Subjects: “…Multi-objective mixed integer nonlinear optimisation (MOMINLP)…”
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A BIM-Based Flexible Flow Shop Framework for Scheduling Linear Infrastructure Projects
Published 2026Subjects: “…Multi-objective Optimization…”
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The planning and optimisation of a supply chain network under uncertainty
Published 2015Get full text
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Modeling and optimization of single-leg multi-fare class overbooking problem: the case of Ethiopian Airlines
Published 2012“…Overbooking is an airline revenue management technique that enables airlines to sell more seats than available in order to account for the fact that some of the passengers may not show-up or cancel their flights on the departure day. The objective of this thesis is to develop an overbooking model for a single-leg multi-fare class flight considering a realistic distribution of no-show data collected from the Ethiopian airlines. …”
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A hyperheuristic approach towards the training of artificial neural networks
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Simulation-based optimisation of public transport networks
Published 2020“…Since the solution of multi-objective optimisation problems is a set of network solutions, further analysis is done to identify the best compromise solution in the Pareto set. …”
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