On effectiveness measures for optimal search methods

2005 ◽  
pp. 7-21
Author(s):  
Patricio Basso
Keyword(s):  
Optimal Search ◽  
Search Methods

Fuzzy optimal search methods

1992 ◽  
Vol 46 (3) ◽  
pp. 331-337 ◽  
Author(s):  
Can Işik ◽  
Salwa Ammar
Keyword(s):  
Optimal Search ◽  
Search Methods

Pattern Search Methods in the Presence of Degeneracy

2003 ◽  
Author(s):  
Mark A. Abramson ◽  
Olga A. Brezhneva ◽  
Jr Dennis ◽  
J. E.
Keyword(s):  
Pattern Search ◽  
Search Methods ◽  
Pattern Search Methods

Optimal Search and Interdiction Planning

2014 ◽  
Author(s):  
Jesse Pietz ◽  
Johannes O. Royset
Keyword(s):  
Optimal Search

scholarly journals Designing Approximately Optimal Search on Matching Platforms

2021 ◽  
Author(s):  
Nicole Immorlica ◽  
Brendan Lucier ◽  
Vahideh Manshadi ◽  
Alexander Wei
Keyword(s):  
Optimal Search

scholarly journals Planning capacity for 5G and beyond wireless networks by discrete fireworks algorithm with ensemble of local search methods

2020 ◽  
Vol 2020 (1) ◽  
Author(s):  
Hafiz Munsub Ali ◽  
Jiangchuan Liu ◽  
Waleed Ejaz
Keyword(s):  
Wireless Networks ◽  
Local Search ◽  
Wireless Network ◽  
Statistical Tests ◽  
Mathematical Framework ◽  
Integer Programming Problem ◽  
Search Methods ◽  
Fireworks Algorithm ◽  
Local Search Methods ◽  
Planning Capacity

Abstract In densely populated urban centers, planning optimized capacity for the fifth-generation (5G) and beyond wireless networks is a challenging task. In this paper, we propose a mathematical framework for the planning capacity of a 5G and beyond wireless networks. We considered a single-hop wireless network consists of base stations (BSs), relay stations (RSs), and user equipment (UEs). Wireless network planning (WNP) should decide the placement of BSs and RSs to the candidate sites and decide the possible connections among them and their further connections to UEs. The objective of the planning is to minimize the hardware and operational cost while planning capacity of a 5G and beyond wireless networks. The formulated WNP is an integer programming problem. Finding an optimal solution by using exhaustive search is not practical due to the demand for high computing resources. As a practical approach, a new population-based meta-heuristic algorithm is proposed to find a high-quality solution. The proposed discrete fireworks algorithm (DFWA) uses an ensemble of local search methods: insert, swap, and interchange. The performance of the proposed DFWA is compared against the low-complexity biogeography-based optimization (LC-BBO), the discrete artificial bee colony (DABC), and the genetic algorithm (GA). Simulation results and statistical tests demonstrate that the proposed algorithm can comparatively find good-quality solutions with moderate computing resources.

Assessing Nickel Titanium Binary Systems Using Structural Search Methods and Ab Initio Calculations

2021 ◽  
Vol 125 (2) ◽  
pp. 1578-1591
Author(s):  
Logan Lang ◽  
Adam Payne ◽  
Irais Valencia-Jaime ◽  
Matthieu J. Verstraete ◽  
Alejandro Bautista-Hernández ◽  
...  
Keyword(s):  
Ab Initio Calculations ◽  
Ab Initio ◽  
Binary Systems ◽  
Nickel Titanium ◽  
Search Methods ◽  
Structural Search

Two accelerated nonmonotone adaptive trust region line search methods

2017 ◽  
Vol 78 (3) ◽  
pp. 911-928 ◽  
Author(s):  
Saman Babaie–Kafaki ◽  
Saeed Rezaee
Keyword(s):  
Line Search ◽  
Trust Region ◽  
Search Methods ◽  
Line Search Methods ◽  
Region Line

New excitation codebook search methods to reduce perceptual degradation of CELP

2007 ◽  
Vol 38 (8) ◽  
pp. 1-10
Author(s):  
Tadashi Yamaura ◽  
Hirohisa Tasaki ◽  
Shinya Takahashi
Keyword(s):  
Search Methods
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