Results 201 to 210 of about 12,515 (232)

A biased random-key genetic algorithm for wireless backhaul network design

Applied Soft Computing, 2015
Graphical abstractDisplay Omitted HighlightsWe propose a novel network design problem for wireless backhaul networks.Its objective function is computed using the value of the maximum flow and network costs.We propose a BRKGA and a mixed integer linear programming model (MIP) to solve it.We assess the great performance of BRKGA over 30 large real-world ...
Carlos E. Andrade, Mauricio G.C. Resende, Weiyi Zhang, Rakesh K. Sinha, Kenneth C. Reichmann, Robert D. Doverspike, Flávio K. Miyazawa   +6 more
openaire   +1 more source

Biased random algorithm for load balancing in Wireless Sensor Networks (BRALB)

2012 15th International Power Electronics and Motion Control Conference (EPE/PEMC), 2012
A Wireless Sensor Network (WSN) consists of large number of small, inexpensive nodes that depend on their sensors, transmission and routing capabilities to collect and disseminate critical data. The energy consumption is a key design criterion for WSN routing algorithms due to the limited availability of energy within network nodes.
Barra Touray, Jinn Shim, P. Johnson
openaire   +1 more source

A C++application programming interface for biased random-key genetic algorithms

Optimization Methods and Software, 2014
In this paper, we describe brkgaAPI, an efficient and easy-to-use object-oriented application programming interface for the algorithmic framework of biased random-key genetic algorithms. Our cross-platform library automatically handles the large portion of problem-independent modules that are part of the framework, including population management and ...
R.F. Toso, M.G.C. Resende
openaire   +1 more source

Biased Random-Key Genetic Algorithms for the Winner Determination Problem in Combinatorial Auctions

Evolutionary Computation, 2015
In this paper we address the problem of picking a subset of bids in a general combinatorial auction so as to maximize the overall profit using the first-price model. This winner determination problem assumes that a single bidding round is held to determine both the winners and prices to be paid.
Carlos Eduardo, de Andrade, Rodrigo Franco, Toso, Mauricio G C, Resende, Flávio Keidi, Miyazawa   +3 more
openaire   +2 more sources

Optimizing Public Transport System Using Biased Random-Key Genetic Algorithm

Applied Soft Computing, 2023
João Luiz Alves Oliveira, Andre L.L. Aquino, Rian G.S. Pinheiro, Bruno Nogueira   +3 more
openaire   +1 more source

Biased Random Key Genetic Algorithm for Multi-user Earth Observation Scheduling

2014
This paper presents a biased random key genetic algorithm, or BRKGA, for solving a multi-user observation scheduling problem. BRKGA is an efficient method in the area of combinatorial optimization. It is usually applied to single objective problem. It needs to be adapted for multi-objective optimization. This paper considers two adaptations.
Panwadee Tangpattanakul, Nicolas Jozefowiez, Pierre Lopez   +2 more
openaire   +1 more source

Noisy intermediate-scale quantum algorithms

Reviews of Modern Physics, 2022
Kishor Bharti, Alba Cervera-Lierta, Thi Ha Kyaw   +2 more
exaly  

Variational quantum algorithms

Nature Reviews Physics, 2021
Marco Cerezo, Andrew Arrasmith, Ryan Babbush   +2 more
exaly  

A Biased Random-key Genetic Algorithm for Extractive Single-document Summarisation

2022 4th International Conference on Pattern Analysis and Intelligent Systems (PAIS), 2022
Khadidja Chettah, Amer Draa
openaire   +1 more source

Multi-qubit entanglement and algorithms on a neutral-atom quantum computer

Nature, 2022
Yunheung Song, Cody Poole, Brandon Grinkemeyer   +2 more
exaly