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In this paper, we focus on the design of deterministic CH sequences based algorithms to solve the blind rendezvous problem.
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This part introduces the ACO based algorithm to solve the double-layered TSP discussed above.
Therefore, we design a non-dominated sorting genetic (NSGA-II) based algorithm to solve this problem.
We then design an artificial immune system based algorithm to solve this programming.
In this paper, we propose another meta-heuristic (i.e., ABC) based algorithm to solve the VNE problem.
In this paper, we propose a novel multi-objective based algorithm to solve the sparse unmixing problem without any relaxation.
With the experimental results and the analysis, we adopt the ℓ1-norm minimization based algorithm to solve sparse representation coefficients for SAR image under each view.
This study developed a transformation based algorithm to solve a tri-level quadratic fractional programming problems using fuzzy goal programming approach.
This paper presents a gradient based algorithm to solve inverse plane bimodular problems of identifying constitutive parameters, including tensile/compressive moduli and tensile/compressive Poisson's ratios.
Then, we design an approximate dynamic programming based algorithm to solve the proposed model, which can obtain a high-quality solution in a short time.
This paper presents two BDD-based algorithms to solve the SAT problem that attempt to contain the growth of BDD size while identifying solutions quickly.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com