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Optimal Planning with ACO

2009
In this paper a planning framework based on Ant Colony Optimization techniques is presented. Optimal planning is a very hard computational problem which has been coped with different methodologies. Approximate methods do not guarantee either optimality or completeness, but it has been proved that in many applications they are able to find very good ...
POGGIONI, VALENTINA   +3 more
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An ACO for Solving RCPSP

2008 International Symposium on Computer Science and Computational Technology, 2008
An improved ant colony optimization (ACO) was developed based on the characteristics of resource-constrained project scheduling problem (RCPSP). In the algorithm, a new permutation of priorities-based encoding scheme is employed, and the summation evaluation is applied to direct the moving of ants.
Li Zhou, Dong Wang, Wuliang Peng
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Supply-Chain Management Using ACO and Beam-ACO Algorithms

2007 IEEE International Fuzzy Systems Conference, 2007
The management of supply-chain can be performed using distributed optimization based on Ant Colony Optimization (ACO), which uses the pheromone matrix as the mean to exchange information between the several subsystems. However, ACO can be replaced by the hybrid algorithm Beam-ACO, which fuses Beam-Search and ACO algorithms. This optimization method has
João Caldeira   +3 more
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An Initialized ACO for the VRPTW

2013
The Vehicle Routing Problem with Time Windows is an important task in logistic planning. The expenditure on employing labor force, i.e., drivers for vehicles, accounts for most of the costs in this domain. We propose an initialized Ant Colony approach, IACO-VRPTW, with the primary goal f 1 to reduce the number of vehicle needed to serve the customers ...
Wei Shi, Thomas Weise 0001
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?????????????????????????? ACO ???????????????? ???????????????? ???????????????????????? ?????????? ?????????????????? ??????????????????

2018
?????????????????????????? ?????????????????????????? ACO (ant colony optimization) ???????????????? ?????? ?????????????????? ???????????? ???????????????? ???????????????????????? ?????????? ?????????????????? ?????????????????? ?????? ??????????????????????, ???????????????????? ???????? ??????????????????? ?? ???????????????? ????????????. ?????????
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Quick-ACO: Accelerating Ant Decisions and Pheromone Updates in ACO

2011
In Ant Colony Optimization (ACO) algorithms, solutions are constructed through a sequence of probabilistic decisions by artificial ants. These decisions are guided by information stored in a pheromone matrix which is repeatedly updated in two ways: Pheromone values in the matrix are increased by the ants to mark preferable decisions (probabilistic ...
Wei Cheng   +2 more
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Arguments for ACO’s Success

2004
Very little theory is available to explain the reasons underlying ACO’s success. A population–based ACO (P-ACO) variant is used to explain the reasons of elitist ACO’s success in the TSP, given a globally convex structure of the solution space.
Osvaldo Gómez, Benjamín Barán
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ACO*HUM

2023
Kunstchronik. Monatsschrift für Kunstwissenschaft, Bd. 50 Nr. 5 (1997): Kunstchronik.
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ACO virtual

SIGGRAPH Asia 2014 Mobile Graphics and Interactive Applications, 2014
In this paper an immersive interactive video touring installation ACO Virtual is discussed in terms of performance capture, production of mobile Controller and Companion applications and staging considerations for flexible touring and remote support. The installation is a creative collaboration between the Australian Chamber Orchestra and studio Mod ...
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ACO or no?

Hospitals & health networks, 2014
Hospitals must weigh the benefits and perils before deciding if - and what kind of - an accountable care organization is right for them. An AHA survey found only 75percent of hospitals participated in an ACO in 2013.
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