Results 51 to 60 of about 10,292 (207)
ABSTRACT Territorial spatial optimization is a key strategy to promote long‐term regional sustainable development. Although ant colony optimization (ACO) is widely used in territorial spatial optimization, it is prone to local optima and offers limited integration of spatial suitability and regional heterogeneity. To address these problems, an adaptive
Mingxin Li +3 more
wiley +1 more source
Greater future range expansions in alien than native ant species
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
Research of the Path Planning of Mobile Robot based on Improved Ant Colony Algorithm
The traditional ant colony algorithm in the process of mobile robot path planning,the algorithm is easy to fall into the local optimization problem when the convergence of the algorithm.
Yu Yong
doaj
Safflower Picking Trajectory Planning Strategy Based on an Ant Colony Genetic Fusion Algorithm
In order to solve the problem of the low pickup efficiency of the robotic arm when harvesting safflower filaments, we established a pickup trajectory cycle and an improved velocity profile model for the harvest of safflower filaments according to the ...
Hui Guo +5 more
doaj +1 more source
AI‐Driven Circular Construction Waste Management for Advancing Sustainable Development
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
AGV optimal path planning based on improved ant colony algorithm
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
Key Technical Fields and Future Outlooks of Space Manipulators: A Survey
This paper systematically reviews the technological development of space manipulators, emphasizing the unique challenges posed by space environments. It examines four areas: structural design, modeling, planning, and control, while introducing typical ground test platforms.
Gang Chen +12 more
wiley +1 more source
Multi-factor of path planning based on an ant colony optimization algorithm
We propose an improved ant colony algorithm for avoiding obstacles in complex static environments that addresses the problems of a single evaluation factor and low path quality of the traditional ant colony algorithm in path planning.
Mingchang Wang +4 more
doaj +1 more source
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
Optimization of Sightseeing Paths in Tourism Park Based on Improved Ant Colony Algorithm
The intelligent navigation system of tourism parks typically functions to recommend diverse sightseeing paths for tourists of different age groups, comprehensively considering factors such as path distances and the geographical location of all the scenic
LIANG Jianheng
doaj +1 more source

