An approximation method for the optimization of continuous functions ofnvariables by densifying their domains
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Publication:4269883
DOI10.1108/03684929910258798zbMath0936.65068OpenAlexW1975956821MaRDI QIDQ4269883
Publication date: 25 May 2000
Published in: Kybernetes (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1108/03684929910258798
Related Items
Global optimization‐preserving operators, Approximating the attractor set of countable iterated function systems by \(\alpha\)-dense curves, Integer optimization by α‐dense curves, BOX-COUNTING DIMENSION COMPUTED BY α-DENSE CURVES, Approximating the attractor set of iterated function systems of order \(m\) by \(\alpha\)-dense curves, Solving inequalities by α‐dense curves. Application to global optimization, Densifiable metric spaces, Optimization by space‐densifying curves as a natural generalization of the Alienor method, Functional equations generating space-densifying curves, The existence of α‐dense curves with minimal length in a metric space, Existence of solutions for infinite systems of differential equations by densifiability techniques
Cites Work
- Approximation of a several variables function by a one variable function and application to global optimization
- Characterization and generation of \(\alpha\)-dense curves
- TRUST: A Deterministic Algorithm for Global Optimization
- A New Method for Global Optimisation (Alienor)
- The theoretic calculation time associated to α‐dense curves
- On the representation of continuous functions of many variables by superposition of continuous functions of one variable and addition
