UAVs Deployment in Disaster Scenarios Based on Global and Local Search Optimization Algorithms

2016 ◽  
Author(s):  
D. G. Reina ◽  
S. L. Toral ◽  
H. Tawfik
Keyword(s):  
Local Search ◽  
Optimization Algorithms ◽  
Search Optimization ◽  
Global And Local

Search schemes for random optimization algorithms that preserve the asymptotic distribution

1999 ◽  
Vol 36 (03) ◽  
pp. 825-836
Author(s):  
Chang C. Y. Dorea ◽  
Cátia R. Gonçalves
Keyword(s):  
Local Search ◽  
Asymptotic Distribution ◽  
Confidence Intervals ◽  
Optimization Algorithms ◽  
Global Maximum ◽  
Random Optimization ◽  
Global And Local

Markovian algorithms for estimating the global maximum or minimum of real valued functions defined on some domain Ω ⊂ ℝ d are presented. Conditions on the search schemes that preserve the asymptotic distribution are derived. Global and local search schemes satisfying these conditions are analysed and shown to yield sharper confidence intervals when compared to the i.i.d. case.

scholarly journals LOCAL SEARCH OPTIMIZATION: A COMPARISON OF ALGORITHMS FOR NONHYPERBOLIC TRAVEL-TIME ANALYSIS

2019 ◽  
Vol 7 (4) ◽  
pp. 321-328
Author(s):  
Nelson Ricardo Flores Zuniga
Keyword(s):  
Local Search ◽  
Travel Time ◽  
Processing Time ◽  
Function Analysis ◽  
Optimization Algorithms ◽  
Time Analysis ◽  
Converted Wave ◽  
Search Optimization ◽  
Calculated Curve ◽  
Inversion Procedure

In the last decade, many works compared nonhyperbolic multiparametric travel-time approximations to perform velocity analysis. In these works, some analyses were accomplished, such as accuracy analysis and objective function analysis. However, no previous works compared the optimization algorithms to perform the inversion procedure concerning the processing time and the accuracy of each algorithm. As the shifted hyperbola showed the best results among the unimodal approximations in previous works, it was selected to be used in a comparison with five local search optimization algorithms. Each algorithm was compared concerning the accuracy by the minimization of the calculated curve to the observed curve. The travel-time curves tested here are conventional (PP) and converted wave (PS) reflection events from an offshore model. With this set of tests, it is possible to define which optimization algorithm presents the most reliable result when used with the shifted hyperbola equation concerning the processing time and the accuracy.

Search schemes for random optimization algorithms that preserve the asymptotic distribution

1999 ◽  
Vol 36 (3) ◽  
pp. 825-836
Author(s):  
Chang C. Y. Dorea ◽  
Cátia R. Gonçalves
Keyword(s):  
Local Search ◽  
Asymptotic Distribution ◽  
Confidence Intervals ◽  
Optimization Algorithms ◽  
Global Maximum ◽  
Random Optimization ◽  
Global And Local

Markovian algorithms for estimating the global maximum or minimum of real valued functions defined on some domain Ω ⊂ ℝd are presented. Conditions on the search schemes that preserve the asymptotic distribution are derived. Global and local search schemes satisfying these conditions are analysed and shown to yield sharper confidence intervals when compared to the i.i.d. case.

scholarly journals Design and Automated Optimization of an Internal Turret Mooring System in the Frequency and Time Domain

2021 ◽  
Vol 9 (6) ◽  
pp. 581
Author(s):  
Hongrae Park ◽  
Sungjun Jung
Keyword(s):  
System Design ◽  
Time Domain ◽  
Initial Conditions ◽  
Minimum Weight ◽  
Optimization Algorithms ◽  
Local Optimization ◽  
Mooring System ◽  
Floating Offshore Wind Turbines ◽  
Global And Local Optimization ◽  
Global And Local

A cost-effective mooring system design has been emphasized for traditional offshore industry applications and in the design of floating offshore wind turbines. The industry consensus regarding mooring system design is mainly inhibited by previous project experience. The design of the mooring system also requires a significant number of design cycles. To take aim at these challenges, this paper studies the application of an optimization algorithm to the Floating Production Storage and Offloading (FPSO) mooring system design with an internal turret system at deep-water locations. The goal is to minimize mooring system costs by satisfying constraints, and an objective function is defined as the minimum weight of the mooring system. Anchor loads, a floating body offset and mooring line tensions are defined as constraints. In the process of optimization, the mooring system is analyzed in terms of the frequency domain and time domain, and global and local optimization algorithms are also deployed towards reaching the optimum solution. Three cases are studied with the same initial conditions. The global and local optimization algorithms successfully find a feasible mooring system by reducing the mooring system cost by up to 52%.

Generic Support for Precomputation-Based Global Routing Constraints in Local Search Optimization

2020 ◽  
pp. 151-165
Author(s):  
Renaud De Landtsheer ◽  
Fabian Germeau ◽  
Thomas Fayolle ◽  
Gustavo Ospina ◽  
Christophe Ponsard
Keyword(s):  
Local Search ◽  
Global Routing ◽  
Search Optimization
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