Simplex algorithm ≈ Simplex algorithm
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Parallelizing the dual revised simplex method Open
This paper introduces the design and implementation of two parallel dual simplex solvers for general large scale sparse linear programming problems. One approach, called PAMI, extends a relatively unknown pivoting strategy called suboptimi…
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A Stochastic Simplex Approximate Gradient (StoSAG) for optimization under uncertainty Open
Summary We consider a technique to estimate an approximate gradient using an ensemble of randomly chosen control vectors, known as Ensemble Optimization (EnOpt) in the oil and gas reservoir simulation community. In particular, we address h…
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A Grey Wolf Optimizer for Optimum Parameters of Multiple PI Controllers of a Grid-Connected PMSG Driven by Variable Speed Wind Turbine Open
This paper presents a novel application of a grey wolf optimizer (GWO) to improve the low voltage ride through (LVRT) capability and the maximum power point tracking (MPPT) of a grid-connected permanent-magnet synchronous generator driven …
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Energy Optimization of Robotic Cells Open
This study focuses on the energy optimization of industrial robotic cells,\nwhich is essential for sustainable production in the long term. A holistic\napproach that considers a robotic cell as a whole toward minimizing energy\nconsumption…
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Self-optimising processes and real-time-optimisation of organic syntheses in a microreactor system using Nelder–Mead and design of experiments Open
Comparing an enhanced simplex algorithm with model-free design of experiments, this work presents a flexible platform for multi-objective, real-time optimisation.
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An Efficient Marine Predators Algorithm for Solving Multi-Objective Optimization Problems: Analysis and Validations Open
Recently, a new strong optimization algorithm called marine predators algorithm (MPA) has been proposed for tackling the single-objective optimization problems and could dramatically fulfill good outcomes in comparison to the other compare…
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Dictionary Indexing of Electron Channeling Patterns Open
The dictionary-based approach to the indexing of diffraction patterns is applied to electron channeling patterns (ECPs). The main ingredients of the dictionary method are introduced, including the generalized forward projector (GFP), the r…
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Evolutionary simplex adaptive Hooke-Jeeves algorithm for economic load dispatch problem considering valve point loading effects Open
Economic load dispatch problems are most important in operation and management of the electric power systems which are formulated as optimization problems. Modern deterministic and stochastic optimization techniques are efficient in solvin…
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Simplex simplified swarm optimisation for the efficient optimisation of parameter identification for solar cell models Open
The development and application of photovoltaic (PV) systems are becoming increasingly more important as the global need for energy resources expands and environmental protection becomes more highly valued. Parameters of PV models can be i…
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A Fast Proximal Point Method for Computing Exact Wasserstein Distance Open
Wasserstein distance plays increasingly important roles in machine learning, stochastic programming and image processing. Major efforts have been under way to address its high computational complexity, some leading to approximate or regula…
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Memetic Algorithm With Meta-Lamarckian Learning and Simplex Search for Distributed Flexible Assembly Permutation Flowshop Scheduling Problem Open
This paper studies a novel and practical distributed flexible assembly permutation flowshop scheduling problem with makespan criterion, which has attracted wide attention due to important applications in modern manufacturing. The problem i…
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Multi-objective calibration by combination of stochastic and gradient-like parameter generation rules – the caRamel algorithm Open
Environmental modelling is complex, and models often require the calibration of several parameters that are not able to be directly evaluated from a physical quantity or field measurement. Multi-objective calibration has many advantages su…
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An algorithm for optimal transport between a simplex soup and a point\n cloud Open
We propose a numerical method to find the optimal transport map between a\nmeasure supported on a lower-dimensional subset of R^d and a finitely supported\nmeasure. More precisely, the source measure is assumed to be supported on a\nsimple…
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A Fast Proximal Point Method for Wasserstein Distance. Open
Wasserstein distance plays increasingly important roles in machine learning, stochastic programming and image processing. Major efforts have been under way to address its high computational complexity, some leading to approximate or regula…
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Controlling of Local search Methods’ Parameters in Memetic Algorithms Using the Principles of Simulated Annealing Open
In simulated annealing the probability of transition to a state with worse value of objective function is guided by a cooling schedule. The more iterations are spent, the more strict the acceptance probability function becomes. In the end …
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Efficient Speed Control for DC Motors Using Novel Gazelle Simplex Optimizer Open
This paper addresses the design of an optimally executed proportional-integral-derivative (PID) controller, tailored for the speed regulation of a direct current (DC) motor. To achieve this objective, we present a novel hybrid algorithm, c…
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Linear Programming Method Application in a Solar Cell Open
A new ranking function of linear programming problems to find the optimal solution of the solar cell by simplex method has been introduced in this paper. Numerical examples are given to illustrate the proposed method. The results obtained …
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From mono- to multicomponent methods in UV-VIS spectrophotometric and fluorimetric quantitative analysis – A review Open
In this work, a review of different methods used for the simultaneous determination of several components through spectrophotometric and fluorimetric measurements is carried out including derivative methods. Several methods are described, …
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Supply-based optimal scheduling of oil product pipelines Open
Oil product pipelines have features such as transporting multiple materials, ever-changing operating conditions, and synchronism between the oil input plan and the oil offloading plan. In this paper, an optimal model was established for a …
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Practical initialization of the Nelder–Mead method for computationally expensive optimization problems Open
Black-box optimization (BBO) algorithms are widely employed by practitioners to address computationally expensive real-world problems such as automatic tuning of machine learning models and evacuation route planning. The Nelder–Mead (NM) m…
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Hybrid evolutionary padé approximation approach for numerical treatment of nonlinear partial differential equations Open
This study proposes a Padé approximation based hybrid mesh free framework for numerical solutions of nonlinear partial differential equations. The proposed framework involves three novel aspects. Firstly, the conjunction of Padé approximat…
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Robust simplex algorithm for online optimization Open
A new optimization algorithm is introduced for online optimization applications. The algorithm was modified from the popular Nelder-Mead simplex method to make it noise aware and noise resistant. Simulation with an analytic function is use…
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An Optimal Cooling Schedule Using a Simulated Annealing Based Approach Open
Simulated annealing (SA) has been a very useful stochastic method for solving problems of multidimensional global optimization that ensures convergence to a global optimum. This paper proposes a variable cooling factor (VCF) model for simu…
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Modeling n-alkane solubility in supercritical CO2 via intelligent methods Open
Injection of carbon dioxide is a familiar, cost-effective and influential technology of enhancing oil recovery whose application has been limited owing to the low n -alkane solubility in supercritical CO 2 . Thus, determining the amount of…
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Teaching learning-based whale optimization algorithm for multi-layer perceptron neural network training Open
This paper presents an improved teaching learning-based whale optimization algorithm (TSWOA) used the simplex method. First of all, the combination of WOA algorithm and teaching learning-based algorithm not only achieves a better balance b…
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Can linear superiorization be useful for linear optimization problems? Open
Linear superiorization considers linear programming problems but instead of attempting to solve them with linear optimization methods it employs perturbation resilient feasibility-seeking algorithms and steers them toward reduced (not nece…
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The Optimization of Machining Parameters for Milling Operations by Using the Nelder–Mead Simplex Method Open
The purpose of machining operations is to make specific shapes or surface characteristics for a product. Conditions for machining operations were traditionally selected based on geometry and surface finish requirements. However, nowadays, …
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Power Plant Optimisation—Effective Use of the Nelder-Mead Approach Open
This paper demonstrates the use of a combined software package including IPSEpro and MATLAB in the optimisation of a modern thermal cycle. A 900 MW power plant unit (operating at ultra-supercritical conditions) was considered as the study …
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Cuckoo Search Inspired Hybridization of the Nelder- Mead Simplex Algorithm Applied to Optimization of Photovoltaic Cells Open
A new hybridization of the Cuckoo Search (CS) is developed and applied to\noptimize multi-cell solar systems; namely multi-junction and split spectrum\ncells. The new approach consists of combining the CS with the Nelder-Mead\nmethod. More…
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A Hybrid Lightning Search Algorithm-Simplex Method for Global Optimization Open
In this paper, a novel hybrid lightning search algorithm-simplex method (LSA-SM) is proposed to solve the shortcomings of lightning search algorithm (LSA) premature convergence and low computational accuracy and it is applied to function o…