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MVMOO: Mixed variable multi-objective optimisation
In many real-world problems there is often the requirement to optimise multiple conflicting objectives in an efficient manner. In such problems there...
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Multi-objective multi-verse optimiser for integrated two-sided assembly sequence planning and line balancing
Research in assembly optimisation is presently inclined towards integrative measures. Several benefits of simultaneously optimised Assembly Sequence...
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Application of multi-objective Bayesian shape optimisation to a sharp-heeled Kaplan draft tube
The draft tube of a hydraulic turbine plays an important role for the efficiency and power characteristics of the overall system. The shape of the...
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Optimal Energy Management of Microgrid Using Multi-objective Optimisation Approach
The use of several distributed generators as well as the energy storage system in a local microgrid require an energy management system to maximize...
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Stochastic Multi-objective Optimisation of Exoskeleton Structures
In this study, a structural optimisation problem, addressed through a stochastic multi-objective approach, is formulated and solved. The problem...
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Optimisation Potentials of Laminated Composites Using Semi-analytical Vibro-Acoustic Models
Light and stiff composites such as fibre-reinforced plastics are sensitive to propagate structure borne sound but simultaneously can be manipulated...
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Predicer: abstract stochastic optimisation model framework for multi-market operation
An open-source modelling framework Predicer, standing for Predictive Decider, for multi-market day-ahead market operation purposes is described in...
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Takeoff optimisation of coaxial compound helicopter with uncertainty quantification
This paper focuses on the optimal takeoff of a coaxial compound helicopter, considering the possibility of engine failure. When one engine fails...
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Random block-coordinate methods for inconsistent convex optimisation problems
We develop a novel randomised block-coordinate primal-dual algorithm for a class of non-smooth ill-posed convex programs. Lying midway between the...
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Regularities of Pareto sets in low-dimensional practical multi-criteria optimisation problems: analysis, explanation, and exploitation
Many practical optimisation problems have conflicting objectives, which should be addressed by multi-criteria optimisation (MCO), i.e. by determining...
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Single-stage to orbit ascent trajectory optimisation with reliable evolutionary initial guess
In this paper, the ascent trajectory optimization of a lifting body Single-Stage To Orbit (SSTO) reusable launch vehicle is investigated. The work is...
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Demanded Scale for Modern Numerical Optimisation
Modern online services facilitate many aspects of the human life such as goods and food shop** and delivery. The number of requested services is...
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Detecting self-organising patterns in crowd motion: effect of optimisation algorithms
The escalating process of urbanization has raised concerns about incidents arising from overcrowding, necessitating a deep understanding of large...
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Multi-objective Finite-Domain Constraint-Based Forest Management
This paper describes an implementation of a Constraint Programming approach to the problem of multi-criteria forest management optimization. The goal...
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Evolutionary Optimisation of a Flexible-Launcher Simple Adaptive Control System
Attitude control of conventional launchers is relatively easy and straightforward and gives an adequate performance when applied to the nominal...
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Neural Network-Based Fuzzy Multi-objective Optimisation for Efficiency Evaluation
Multi-objective optimisation handles the optimisation of multiple objectives on a multi-dimensional space (Lootsma in Fuzzy Multi-Objective...
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Optimisation of an existing water injection network in an oilfield for multi-period development
Water injection demand for oilfields varies greatly in different development periods. The topology and size of the water injection pipeline network...
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Siting renewable power generation assets with combinatorial optimisation
This paper studies the problem of siting renewable power generation assets using large amounts of climatological data while accounting for their...
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P-graph approach for the optimisation of biomass supply network for biogas production in urban areas
The utilization of anaerobic systems for biogas production integrates various aspects such as renewable energy generation, waste management, waste...
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Multi-objective optimization of energy-efficient production schedules using genetic algorithms
The optimization of production schedules to be more energy efficient while still meeting production goals is a difficult task: How to schedule and...
