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Ant algorithms

JOURNAL ARTICLE published June 2000 in Future Generation Computer Systems

Authors: Marco Dorigo | Gianni Di Caro | Thomas Stützle

Ant algorithms and stigmergy

JOURNAL ARTICLE published June 2000 in Future Generation Computer Systems

Authors: Marco Dorigo | Eric Bonabeau | Guy Theraulaz

Ant Colony Optimization Task Scheduling Algorithm for SWIM Based on Load Balancing

JOURNAL ARTICLE published 2 April 2019 in Future Internet

Research funded by National Natural Science Foundation for Youth of China (61601467,3122018D007) | Natural Science Foundation of Tianjin (17JCZDJC30900)

Authors: Gang Li | Zhijun Wu

Dynamic Load Balancing Strategy for Cloud Computing with Ant Colony Optimization

JOURNAL ARTICLE published 26 November 2015 in Future Internet

Authors: Ren Gao | Juebo Wu

Improved auto control ant colony optimization using lazy ant approach for grid scheduling problem

JOURNAL ARTICLE published July 2016 in Future Generation Computer Systems

Authors: Pawan Kumar Tiwari | Deo Prakash Vidyarthi

Global Futures: Challenges and opportunities for collective life

OTHER published 2020 in Future Cities

The Application of an Improved Discrete-Mapping Chaotic Ant Swarm Optimization for Multi-constrained QoS Routing

BOOK CHAPTER published 2012 in Future Computing, Communication, Control and Management

Authors: Jia Du | Hongyan Cui | Chen Feng | Jianya Chen

Optimization over discrete sets via SPSA

PROCEEDINGS ARTICLE published 1999 in Proceedings of the 31st conference on Winter simulation Simulation---a bridge to the future - WSC '99

Authors: László Gerencsér | Stacy D. Hill | Zsuzsanna Vágó

Generic Tasks for Algorithms

JOURNAL ARTICLE published 3 September 2020 in Future Internet

Authors: Gregor Milicic | Sina Wetzel | Matthias Ludwig

Search Engine Optimization

JOURNAL ARTICLE published 31 December 2019 in Future Internet

Wirkungsbereiche zukunftsorientierter Unternehmen

BOOK CHAPTER published 2024 in Future Focused Innovation

Authors: Daniela Freudenthaler-Mayrhofer

Innovative Topologies and Algorithms for Neural Networks

JOURNAL ARTICLE published 11 July 2020 in Future Internet

Authors: Salvatore Graziani | Maria Gabriella Xibilia

Inverse kinematic multiobjective optimization for a vehicle-arm robot system using evolutionary algorithms

PROCEEDINGS ARTICLE published 10 September 2018 in Robotics Transforming the Future

Multi-level ant system - a new approach through the new pheromone update for ant colony optimization

PROCEEDINGS ARTICLE published in 2006 International Conference onResearch, Innovation and Vision for the Future

Parallel ant colony optimization on multi-core SIMD CPUs

JOURNAL ARTICLE published February 2018 in Future Generation Computer Systems

Research funded by National Science Foundation of China (61472289) | National Key Research and Development Project (2016YFC0106305)

Authors: Yi Zhou | Fazhi He | Neng Hou | Yimin Qiu

Transactional and QoS-aware dynamic service composition based on ant colony optimization

JOURNAL ARTICLE published July 2013 in Future Generation Computer Systems

Authors: Quanwang Wu | Qingsheng Zhu

A Scheme to Design Community Detection Algorithms in Various Networks

JOURNAL ARTICLE published 12 February 2019 in Future Internet

Authors: Haoye Lu | Amiya Nayak

Derivation of self-scheduling algorithms for heterogeneous distributed computer systems: Application to internet-based grids of computers

JOURNAL ARTICLE published June 2009 in Future Generation Computer Systems

Authors: Javier Díaz | Sebastián Reyes | Alfonso Niño | Camelia Muñoz-Caro

Co-scheduling in Lambda Grid Systems by means of Ant Colony Optimization

JOURNAL ARTICLE published March 2009 in Future Generation Computer Systems

Authors: Gustavo Sousa Pavani | Helio Waldman

Distributed meta-scheduling in lambda grids by means of Ant Colony Optimization

JOURNAL ARTICLE published October 2016 in Future Generation Computer Systems

Research funded by Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) (2008/57857-2) | Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) (574017/2008-9)

Authors: Gustavo Sousa Pavani | Rodrigo Izidoro Tinini