Results 61 to 70 of about 5,597,765 (175)

Process Planning for Large Container Ship Propeller Shaft Machining Based on an Improved Ant Colony Algorithm

open access: yesJournal of Marine Science and Engineering
To accommodate the production and manufacture of complex and customized marine components and to avoid the empirical nature of process planning, machining operations can be automatically sequenced and optimized using ant colony algorithms.
Guotai Du, Hongkui Ma, Yu Bai, Ning Mei
doaj   +1 more source

AGV optimal path planning based on improved ant colony algorithm

open access: yesMATEC Web of Conferences, 2018
Using the traditional Ant Colony Algorithm for AGV path planning is easy to fall into the local optimal solution and lacking the capability of obstacle avoidance in the complex storage environment.
He Chengwei, Mao Jian
doaj   +1 more source

Greater future range expansions in alien than native ant species

open access: yesOikos, EarlyView.
There is growing concern that many species may not be able to track suitable conditions under climate change and suffer range contractions as a result. At the same time, alien species introduced to novel geographic ranges are often assumed to benefit from climate change.
Tongyi Liu   +2 more
wiley   +1 more source

Improving the Interpretability of Classification Rules Discovered by an Ant Colony Algorithm: Extended Results [PDF]

open access: yes, 2016
The vast majority of Ant Colony Optimization (ACO) algorithms for inducing classification rules use an ACO-based procedure to create a rule in an one-at-a-time fashion. An improved search strategy has been proposed in the cAnt-MinerPB algorithm, where an
Otero, Fernando E.B., Freitas, Alex A.
core   +1 more source

Enhancing Drone Light Shows Performances: Optimal Allocation and Trajectories for Swarm Drone Formations

open access: yesJournal of Field Robotics, EarlyView.
ABSTRACT Drone light shows (DLShows) represent a rapidly growing application of swarm robotics, creating captivating aerial displays through the synchronized flight of hundreds or thousands of unmanned aerial vehicles (UAVs) as environmentally friendly and reusable alternatives to traditional pyrotechnics.
Yunes Alqudsi
wiley   +1 more source

Investigating Evaluation Measures in Ant Colony Algorithms for Learning Decision Tree Classifiers [PDF]

open access: yes, 2015
Ant-Tree-Miner is a decision tree induction algorithm that is based on the Ant Colony Optimization (ACO) meta- heuristic. Ant-Tree-Miner-M is a recently introduced extension of Ant-Tree-Miner that learns multi-tree classification models.
Otero, Fernando E.B.   +5 more
core   +1 more source

AI‐Driven Circular Construction Waste Management for Advancing Sustainable Development

open access: yesSustainable Development, EarlyView.
ABSTRACT Construction and demolition waste (C&DW) represents up to 40% of global solid waste, posing a significant barrier to achieving circular economy (CE) objectives and the Sustainable Development Goals (SDGs), particularly SDG 11 and SDG 12. However, construction waste management (CWM) systems remain constrained by fragmented data environments ...
Mohamed T. Elnabwy, Pablo Martinez
wiley   +1 more source

Optimum buckling design of composite stiffened panels using ant colony algorithm [PDF]

open access: yes, 2010
Optimal design of laminated composite stiffened panels of symmetric and balanced layup with different number of T-shape stiffeners is investigated and presented. The stiffened panels are simply supported and subjected to uniform biaxial compressive load.
Wang, Wei   +3 more
core   +1 more source

MOEA/D‐based multi‐row facility layout optimisation method with discontinuity perceiving of the Pareto front

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
Abstract In a multi‐row facility layout problem (MRFLP), facilities are arranged in more than one row under the limited layout area. Considering different layout factors, various extensions of MRFLP have been modelled. However, the orientation of input/output (I/O) point in a facility, as a key factor that plays a direct impact on flow cost, is seldom ...
Yinan Guo   +5 more
wiley   +1 more source

GRID SCHEDULING USING ENHANCED ANT COLONY ALGORITHM [PDF]

open access: yesICTACT Journal on Soft Computing, 2010
Grid computing is a high performance computing used to solve larger scale computational demands. Task scheduling is a major issue in grid computing systems. Scheduling of tasks is the NP hard problem.
P. Mathiyalagan   +2 more
doaj  

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