A Taxonomy of Cooperative Search Algorithms

2005 ◽  
pp. 32-41 ◽  
Author(s):  
Mohammed El-Abd ◽  
Mohamed Kamel
Keyword(s):  
Search Algorithms ◽  
Cooperative Search

Systemic behavior of cooperative search algorithms

2004 ◽  
Vol 30 (1) ◽  
pp. 57-79 ◽  
Author(s):  
Michel Toulouse ◽  
Teodor Gabriel Crainic ◽  
Brunilde Sansó
Keyword(s):  
Search Algorithms ◽  
Cooperative Search

Global optimization properties of parallel cooperative search algorithms: A simulation study

2000 ◽  
Vol 26 (1) ◽  
pp. 91-112 ◽  
Author(s):  
Michel Toulouse ◽  
Teodor Gabriel Crainic ◽  
K Thulasiraman
Keyword(s):  
Global Optimization ◽  
Simulation Study ◽  
Search Algorithms ◽  
Cooperative Search

scholarly journals Towards Reducing the Impact of Localisation Errors on the Behaviour of a Swarm of Autonomous Underwater Vehicles

MENDEL ◽  
2020 ◽  
Vol 26 (2) ◽  
pp. 1-8
Author(s):  
Tarek El-Mihoub ◽  
Christoph Tholen ◽  
Lars Nolle
Keyword(s):  
Search Algorithm ◽  
Autonomous Underwater Vehicles ◽  
Search Space ◽  
Underwater Vehicles ◽  
Search Algorithms ◽  
Cooperative Search ◽  
Global View ◽  
High Level ◽  
The Impact ◽  
Search Information

Localisation errors have a great impact on Autonomous Underwater Vehicles (AUVs) as search agents. Different approaches for solving the localisation problem can be used and combined together for greater accuracy in estimating AUVs’ locations. The effect of localisation errors on locating a target can be lightened by designing a search algorithm that avoids extensive use of exact lo-cation information. In this paper, two cooperative search algorithms are proposed and evaluated. In these algorithms, a high-level mechanism is employed for building a global view of the search space using minimum possible search information. These algorithms rely on low-level search algorithms with exploring roles. Particle Swarm Optimisation (PSO) and all-to-one Self-Organising Migrating Algorithm (SOMA) are selected as high-level mechanisms. The conducted experiments demonstrate that both algorithms show a robust behaviour within a range of localisation errors.

The Local Search Algorithms for Maximum 3-Satisfiablility Problem

2010 ◽  
Vol 33 (7) ◽  
pp. 1127-1139
Author(s):  
Da-Ming ZHU ◽  
Shao-Han MA ◽  
Ping-Ping ZHANG
Keyword(s):  
Local Search ◽  
Search Algorithms ◽  
Local Search Algorithms

PARALLEL DATA SEARCH ALGORITHMS AND THEIR IMPLEMENTATION ON THE CUDA PLATFORM

2018 ◽  
Vol 65 ◽  
pp. 55-62
Author(s):  
S. V. Skvortsov ◽  
◽  
T. A. Fetisova ◽  
D. V. Fetisov ◽  
◽  
...  
Keyword(s):  
Search Algorithms ◽  
Parallel Data ◽  
Data Search

scholarly journals FREEDOM OF THOUGHT

2020 ◽  
Vol 37 (2) ◽  
pp. 1-8
Author(s):  
David Schmidtz
Keyword(s):  
Search Algorithms ◽  
Internet Search ◽  
Emerging Issues ◽  
Freedom Of Thought

Abstract This essay introduces basic issues that make up the topic of freedom of thought, including newly emerging issues raised by the current proliferation of Internet search algorithms.

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