Multiple objectives optimization of injection-moulding process for dashboard using soft computing and particle swarm optimization by Mehdi Moayyedian (14880358)

“…The best model estimates defects. Multiple objectives particle swarm optimisation extracts optimal process parameters. …”

An optimal formulation for test scheduling network-on-chip using multiple clock rates by Harmanani, Haidar M.

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Optimizing Truck Visits to Container Terminals with Consideration of Multiple Drays of Individual Drivers by Raka Jovanovic (17947838)

“…To be more precise, the focus is on exploiting the fact that individual truck drivers perform multiple visits to the container terminal in a day. …”

Optimal airline overbooking policy for a single leg with multiple flights per day by Zouein, P.

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A Mobile Energy Storage Unit Serving Multiple EV Charging Stations by Elmeligy, Mohamed Mostafa Abdelazim

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A Case Study in Qatar for Optimal Energy Management of an Autonomous Electric Vehicle Fast Charging Station with Multiple Renewable Energy and Storage Systems by Abdulla Al Wahedi (17115613)

Task-Based Design Approach: Development of a Planar Cable-Driven Parallel Robot for Upper Limb Rehabilitation by Ennaiem, Ferdaws

“…Since selecting a single solution among the multiple ones given by the Pareto front presents an issue, a mono-objective formulation was chosen, where the objective function was defined as a weighted sum of the chosen criteria. …”
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Joint Transmitter / Receiver Optimization for Cognitive Radio Applications by Vameghestahbanati, Monirosharieh

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Reinforcement Learning for Resilient Aerial-IRS Assisted Wireless Communications Networks in the Presence of Multiple Jammers by Zain Ul Abideen Tariq (17984107)

“…Hence, we leverage the light-weight Deep Reinforcement Learning (DRL) technique called Deep Deterministic Policy Gradient (DDPG) to optimize trajectory and IRS phase shifts and achieve multiple objectives jointly. …”

CFD Based Airfoil Shape Optimization for Aerodynamic Drag Reduction by Khot, Mohammed Taha Shafiq

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Tensile Test Optimization Using the Design of Experiment and Soft Computing by Mehdi Moayyedian (14880358)

“…The marginal error of only 0.72% in the hybrid approach showcases its high precision and reliability in determining the optimal levels of machining parameters. These findings underscore the potential of the Taguchi optimization method, ANFIS, and GA in achieving superior results in the tensile testing of materials, particularly in cases where multiple parameters are involved. …”

Salp swarm algorithm: survey, analysis, and new applications by Abualigah, Laith

“…This chapter offers the sea salmon-associated polyp (SALP) swarm algorithm (SSA) and multipurpose SSA (MSSA) as new optimization algorithms for solving optimization problems with single and multiple objectives. …”
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Multi-item order quantity optimization through stochastic goal programing by Alireza Azimian (21767603)

Faux-Data Injection Optimization for Accelerating Data-Driven Discovery of Materials by Abdul Wahab Ziaullah (16027076)

“…We achieve this objective through a batch optimization technique based on faux-data injection in the BO loop. …”

Smart Synthesis of Trimethyl Ethoxysilane (TMS) Functionalized Core–Shell Magnetic Nanosorbents Fe₃O₄@SiO₂: Process Optimization and Application fo... by Khalid Al-Saad (5768084)

“…Using a full factorial design (2k-FFD), the influences of four factors on the coating process was assessed by optimizing the three responses (magnetic properties, PS, and PSD). …”

Optimal Dispatch of Mobile Energy Storage Unit to Support EV Charging Stations by Elmeligy, Mohamed Mostafa Abdelazim

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Optimal Group Formation in Dense Wi-Fi Direct Networks for Content Distribution by Muhammad Asif Khan (7367468)

“…This paper proposes a modified group formation scheme among multiple devices. The proposed scheme formulates the GO selection problem as an optimization problem which is solved using integer programming (IP). …”

An Optimal Air-Conditioner On-Off Control Scheme under Extremely Hot Weather Conditions by Mohammed Al-Azba (18597118)

“…In addition, a cost function of multiple objectives, which consider both Coefficient of Performance (COP), and AC compressor weariness due to On-Off switching, is designed for the optimization target of minimum cost. …”

Application of Tools of Quality Function Deployment and Modified Balanced Scorecard for Optimal Allocation of Pavement Management Resources by Okan Sirin (14603304)

“…Most of the pavement management entities are driven by optimization models that allow the optimization of a single objective. …”

Trial-based dominance for comparing both the speed and accuracy of stochastic optimizers with standard non-parametric tests by Kenneth V. Price (17877002)

“…<p>Non-parametric tests can determine the better of two stochastic optimization algorithms when benchmarking results are ordinal—like the final fitness values of multiple trials—but for many benchmarks, a trial can also terminate once it reaches a prespecified target value. …”