matlab fmincon procedure Search Results


sequential quadratic programming sqp procedure  (MathWorks Inc)
96
MathWorks Inc sequential quadratic programming sqp procedure
The environment to traverse ( A ) and the simulation pipeline ( B ). The environment was generated as a linear combination of scaled and translated Gaussian surfaces, as described in Methods and Materials. The simulation procedure entailed refining the path predictions by each algorithm separately using the landscape-dependent cost function. Abbreviations: GA—genetic Algorithm; PSO—Particle Swarm Optimization; <t>SQP—</t> Sequential Quadratic Programming; a.u.—arbitrary units.
Sequential Quadratic Programming Sqp Procedure, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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matlab r2021b  (MathWorks Inc)
97
MathWorks Inc matlab r2021b
The environment to traverse ( A ) and the simulation pipeline ( B ). The environment was generated as a linear combination of scaled and translated Gaussian surfaces, as described in Methods and Materials. The simulation procedure entailed refining the path predictions by each algorithm separately using the landscape-dependent cost function. Abbreviations: GA—genetic Algorithm; PSO—Particle Swarm Optimization; <t>SQP—</t> Sequential Quadratic Programming; a.u.—arbitrary units.
Matlab R2021b, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 97/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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simplex  (Gurobi Optimization)
86
Gurobi Optimization simplex
The environment to traverse ( A ) and the simulation pipeline ( B ). The environment was generated as a linear combination of scaled and translated Gaussian surfaces, as described in Methods and Materials. The simulation procedure entailed refining the path predictions by each algorithm separately using the landscape-dependent cost function. Abbreviations: GA—genetic Algorithm; PSO—Particle Swarm Optimization; <t>SQP—</t> Sequential Quadratic Programming; a.u.—arbitrary units.
Simplex, supplied by Gurobi Optimization, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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symbolic math toolbox  (MathWorks Inc)
94
MathWorks Inc symbolic math toolbox
The environment to traverse ( A ) and the simulation pipeline ( B ). The environment was generated as a linear combination of scaled and translated Gaussian surfaces, as described in Methods and Materials. The simulation procedure entailed refining the path predictions by each algorithm separately using the landscape-dependent cost function. Abbreviations: GA—genetic Algorithm; PSO—Particle Swarm Optimization; <t>SQP—</t> Sequential Quadratic Programming; a.u.—arbitrary units.
Symbolic Math Toolbox, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 94/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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model calibration  (MathWorks Inc)
94
MathWorks Inc model calibration
The environment to traverse ( A ) and the simulation pipeline ( B ). The environment was generated as a linear combination of scaled and translated Gaussian surfaces, as described in Methods and Materials. The simulation procedure entailed refining the path predictions by each algorithm separately using the landscape-dependent cost function. Abbreviations: GA—genetic Algorithm; PSO—Particle Swarm Optimization; <t>SQP—</t> Sequential Quadratic Programming; a.u.—arbitrary units.
Model Calibration, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 94/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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global optimization toolbox 3 5 7  (MathWorks Inc)
97
MathWorks Inc global optimization toolbox 3 5 7
The environment to traverse ( A ) and the simulation pipeline ( B ). The environment was generated as a linear combination of scaled and translated Gaussian surfaces, as described in Methods and Materials. The simulation procedure entailed refining the path predictions by each algorithm separately using the landscape-dependent cost function. Abbreviations: GA—genetic Algorithm; PSO—Particle Swarm Optimization; <t>SQP—</t> Sequential Quadratic Programming; a.u.—arbitrary units.
Global Optimization Toolbox 3 5 7, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 97/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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global optimization toolbox 3 5 7 - by Bioz Stars, 2026-05
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Image Search Results


The environment to traverse ( A ) and the simulation pipeline ( B ). The environment was generated as a linear combination of scaled and translated Gaussian surfaces, as described in Methods and Materials. The simulation procedure entailed refining the path predictions by each algorithm separately using the landscape-dependent cost function. Abbreviations: GA—genetic Algorithm; PSO—Particle Swarm Optimization; SQP— Sequential Quadratic Programming; a.u.—arbitrary units.

Journal: bioRxiv

Article Title: Evaluating Evolutionary and Gradient-Based Algorithms for Optimal Pathfinding

doi: 10.1101/2025.03.16.643541

Figure Lengend Snippet: The environment to traverse ( A ) and the simulation pipeline ( B ). The environment was generated as a linear combination of scaled and translated Gaussian surfaces, as described in Methods and Materials. The simulation procedure entailed refining the path predictions by each algorithm separately using the landscape-dependent cost function. Abbreviations: GA—genetic Algorithm; PSO—Particle Swarm Optimization; SQP— Sequential Quadratic Programming; a.u.—arbitrary units.

Article Snippet: The third algorithm used in our study was a quasi-Newton method—the Sequential Quadratic Programming (SQP) procedure (“ fmincon ” function in the MATLAB’s Optimization Toolbox)—described in detail in ( ).

Techniques: Generated, Refining

Representative paths calculated by the three evaluated algorithms: ( A ) Genetic Algorithm (GA), ( B ) Particle Swarm Optimization (PSO), and ( C ) Sequential Quadratic Programming (SQP), each illustrating the distinct pathfinding solutions. Abbreviations are the same as in .

Journal: bioRxiv

Article Title: Evaluating Evolutionary and Gradient-Based Algorithms for Optimal Pathfinding

doi: 10.1101/2025.03.16.643541

Figure Lengend Snippet: Representative paths calculated by the three evaluated algorithms: ( A ) Genetic Algorithm (GA), ( B ) Particle Swarm Optimization (PSO), and ( C ) Sequential Quadratic Programming (SQP), each illustrating the distinct pathfinding solutions. Abbreviations are the same as in .

Article Snippet: The third algorithm used in our study was a quasi-Newton method—the Sequential Quadratic Programming (SQP) procedure (“ fmincon ” function in the MATLAB’s Optimization Toolbox)—described in detail in ( ).

Techniques: