A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
Filters
An efficient ant colony optimization framework for HPC environments
2021
Applied Soft Computing
Preserved Fulltext
One of the most popular combinatorial optimization methods is the Ant Colony Optimization (ACO) metaheuristic. ...
The proposal has been evaluated using the popular Traveling Salesman Problem (TSP), as a well-known NP-hard problem widely used in the literature to test combinatorial optimization methods. ...
Ant Colony Optimization for the TSP problem Ant Colony Optimization (ACO) is a metaheuristic in which a colony of ants cooperates in finding good solutions to difficult optimization problems. ...
doi:10.1016/j.asoc.2021.108058
fatcat:bweg2t6pjbhkhaqzb6mbw7apmm
Artificial Societies and Social Simulation Using Ant Colony, Particle Swarm Optimization and Cultural Algorithms
[chapter]
2010
New Achievements in Evolutionary Computation
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
However, in the last five years, some hybrid algorithms have been proposed to solve the VRPTW as a MOO problem. ...
This work proposes a hybrid particle swarm MOO algorithm that incorporates perturbation operators for keeping diversity in the evolutionary search and the concept of Pareto optimality for solving the VRPTW ...
Artificial Societies and Social Simulation Using Ant Colony, Particle Swarm Optimization and Cultural Algorithms, New Achievements in Evolutionary Computation, Peter Korosec (Ed.), ISBN: 978-953-307-053 ...
doi:10.5772/8058
fatcat:crckzn4qnvezncfcbxhydohxuu
Particle Swarm Optimization: A Survey of Historical and Recent Developments with Hybridization Perspectives
2018
Machine Learning and Knowledge Extraction
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Note that this fulltext copy is not of the "primary" version of this work. The version it corresponds to is:
2018 pre-print arXiv:1804.05319v1 fatcat:wnvmathlqzcf7kp2uvfxtrstaeOther Versions
problems that cannot be solved using traditional deterministic algorithms. ...
Hybridization attempts with other evolutionary and swarm paradigms in selected applications are covered and an up-to-date review is put forward for the interested reader. ...
Acknowledgements This work was made possible by the financial and computing support by the Vanderbilt University Department of EECS. ...
doi:10.3390/make1010010
fatcat:ue65xvqyk5hovlzo6gzok524pm
Implementation of modified artificial bee colony (ABC) optimization technique for minimum cost design of welded structures
2014
International Journal for Simulation and Multidisciplinary Design Optimization
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
The optimization procedure is carried out using artificial bee colony (ABC) optimization technique. Classical ABC is modified to increase the convergence rate of the original algorithm. ...
Keeping this in view two different problems from the literature for the cost optimization of welded structures are considered in this paper. ...
It is shown that ABC is capable of solving complicated cost optimization problems for welded structures. ...
doi:10.1051/smdo/2013008
fatcat:fvqysnvcmrg4hk57octeayfpw4
A survey of swarm intelligence for dynamic optimization: Algorithms and applications
2017
Swarm and Evolutionary Computation
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
For such dynamic optimization problems (DOPs), it is difficult for a conventional SI algorithm to track the changing optimum once the algorithm has converged on a solution. ...
Swarm intelligence (SI) algorithms, including ant colony optimization, particle swarm optimization, bee-inspired algorithms, bacterial foraging optimization, firefly algorithms, fish swarm optimization ...
[256, 257] proposed a BFO algorithm to solve the optimal power flow problem with power system dynamic loads. ...
doi:10.1016/j.swevo.2016.12.005
fatcat:ro3x4hds5vc7ri42szwdhby3bq
Particle Swarm Optimization: Basic Concepts, Variants and Applications in Power Systems
2008
IEEE Transactions on Evolutionary Computation
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2009; you can also visit the original URL.
The file type is application/pdf.
Particle swarm optimization (PSO), part of the swarm intelligence family, is known to effectively solve large-scale nonlinear optimization problems. ...
Many areas in power systems require solving one or more nonlinear optimization problems. ...
The idea of the ant colony algorithm is to mimic this behavior with "simulated ants" walking around the graph representing the problem to solve. ...
doi:10.1109/tevc.2007.896686
fatcat:adc66fptffebrgaapbjvb2imj4
A Review on Optimization of Active Power Filter Placement and Sizing Methods
2022
Energies
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
The summary also indicates a possible direction for further work. ...
The best solution to this problem is to use optimization techniques. This paper compares the methods and criteria used by the authors of publications dealing with this topic. ...
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/en15031175
fatcat:jx7zzmw25bcsvptihpon3lhhaa
Parallel Meta-heuristics
[chapter]
2010
International Series in Operations Research and Management Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Parallel Ant Colonies for Com-
binatorial Optimization Problems. ...
ant colony algorithm [124] for the
resulting restricted VRP. ...
doi:10.1007/978-1-4419-1665-5_17
fatcat:5hhwwngx6jb6pnaugdgvenjraq
Integrated Production and Transportation Scheduling Method in Hybrid Flow Shop
2022
Chinese Journal of Mechanical Engineering
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
This paper solves the integrated production and transportation scheduling problem (IPTSP) in hybrid flow shops, which is an extension of the hybrid flow shop scheduling problem (HFSP). ...
In this problem, the transfer tasks of jobs are performed by a certain number of AGVs. ...
[18] used ant colony optimization (ACO) algorithm and genetic algorithm (GA) to solve flexible flow shop scheduling problem with robotic transportation and release time. ...
doi:10.1186/s10033-022-00683-7
fatcat:whapnaiaifbajcdlfvilbylmb4
Parallel Metaheuristics Applications
[chapter]
2005
Parallel Metaheuristics
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
The reader may consult a number of surveys, taxonomies, and syntheses of parallel meta-heuristics, of which quite a few address the "classical" meta-heuristics, Simulated Annealing, Genetic Algorithms, ...
We have also restricted to a minimum the presentation of general parallel computation issues as well as that of the parallel meta-heuristic strategies. ...
Acknowledgments Funding for this project has been provided by the Natural Sciences and Engineering Council of Canada, and by the Fonds FQRNT of the Province of Québec. ...
doi:10.1002/0471739383.ch19
fatcat:junbparoinckhfulturvyqvuxu
An annotated bibliography of GRASP-Part II: Applications
2009
International Transactions in Operational Research
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
A greedy randomized adaptive search procedure (GRASP) is a metaheuristic for combinatorial optimization. ...
GRASP has been applied to a wide range of combinatorial optimization problems, ranging from scheduling and routing to drawing and turbine balancing. ...
The basic elements are extracted from a specific ant colony optimization algorithm (MAX-MIN Ant System) and GRASP, which are are embedded in a general framework. C.A. Oliveira, P.M. ...
doi:10.1111/j.1475-3995.2009.00664.x
fatcat:wdqwc6xvcnfq3fi5ujy6jy5wtm
Time- Dependent Multiple Depot Vehicle Routing Problem on Megapolis Network under Wardrop's Traffic Flow Assignment
2018
2018 22nd Conference of Open Innovations Association (FRUCT)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
.; Tuovinen, Tero Mugayskikh, A. V., Zakharov, ...
such as a hybrid ant colony/tabu search algorithm [14] , an adaptive genetic algorithm [15] or a local search with the time improvement phase [16] . ...
In study [9] multi ant colony system method for TDVRPTW is illustrated in details. ...
doi:10.23919/fruct.2018.8468273
dblp:conf/fruct/MugayskikhZT18
fatcat:jh2lg7fnxbcfhosqgzkxytilda
Further Research on Node Based Bottleneck Improvement Problem for Multicut
[chapter]
2006
Lecture Notes in Computer Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
ECCO wants to provide a forum for researchers in combinatorial optimization, either in its theoretical aspects or in business, industry or public administration applications. ...
Theme: ECCO is the annual meeting of the EURO working group on combinatorial optimization. ECCO was started in 1987 by a group of leading experts in Operations Research and Management Science. ...
The p-Center problem consists in locating p facilities among a set of M possible locations and assigning N clients to them in order to minimize the maximum distance between a client and the facility to ...
doi:10.1007/11816157_107
fatcat:xjdnf4kesrbczoh4ilvxxixqei
Hybrid Approaches to Address Various Challenges in Wireless Sensor Network for IoT Applications: Opportunities and Open Problems
2021
International Journal of Computer Networks And Applications
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
This paper gives a lucid comparison of many state-of-the-art optimization algorithms and descriptive and statistical analysis for discussed issues and algorithms associated with them. ...
But machine learning approaches also cannot solve all the problems in WSN solely. ...
It gives a tabular description of the solution given by the hybrid optimization algorithm to solve the problems in each issue. ...
doi:10.22247/ijcna/2021/209186
fatcat:isjbrui3wjb6bcj5ifyzt6jboi
Electrical Cable Optimization in Offshore Wind Farms—A Review
2019
IEEE Access
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
One of the main contributions of this paper is to propose a general classification of this problem, framed in the general context of the OWFs design and optimization (OWiFDO). ...
The full combinatorial problem is found to be better addressed following a top-bottom approach, combining exact formulations with high-level heuristics, or holistically with evolutionary algorithms. ...
ACKNOWLEDGMENT The authors would like to thank Prof. Poul Sørensen, Dr. Kaushik Das and Prof. Mathias Stolpe for their contributions to the development of the manuscript. ...
doi:10.1109/access.2019.2925873
fatcat:dhd4kfgekvd4va47lu63ujdbyy
« Previous
Showing results 1 — 15 out of 220 results