Results 71 to 80 of about 5,597,765 (175)
Building Blocks as Experiences in Dynamic Capacitated Arc Routing Problems
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT The dynamic capacitated arc routing problem (DCARP) aims to update the service paths of vehicles in the capacitated arc routing problem when uncertain factors deteriorate the current schedule of vehicles' services. A DCARP scenario comprises a series of DCARP instances that share similarities with each other. Therefore, optimisation experience
Hao Tong +4 more
wiley +1 more source
Jixie chuandong, 2006 The optimization design issues of harmonic gear `transmission were studied,and its fuzzy optimization design model with discrete variables was set up.The basic ant colony optimization algorithm was improved by introducing rebirth of ant colony.In order ...
郭惠昕
doaj
3D Path Planning for the Ground Robot with Improved Ant Colony Optimization
Sensors, 2019 Path planning is a fundamental issue in the aspect of robot navigation. As robots work in 3D environments, it is meaningful to study 3D path planning.
Lanfei Wang +3 more
doaj +1 more source
When is the bait worth the risk? A mechanistic model of a compensatory ecological trap in seabirds
Functional Ecology, EarlyView.Read the free Plain Language Summary for this article on the Journal blog. Abstract Ecological traps occur when organisms preferentially select habitats that reduce fitness. In seabird–fishery systems, fishery‐derived trophic subsidies can increase foraging success, reinforce habitat preference and indirectly enhance reproductive output or recruitment,
Cristóbal Anguita +2 more
wiley +1 more source
Application of improved intelligent ant colony algorithm in protein folding prediction
Journal of Algorithms & Computational Technology, 2020 While the single ant colony algorithm and the fish swarm algorithm have many advantages, they also have various shortcomings. After analyzing the advantages and disadvantages of the ant colony algorithm and the fish swarm algorithm, this paper uses the ...
Fengjuan Wang +3 more
doaj +1 more source
Methods in Ecology and Evolution, EarlyView.Abstract The biodiversity crisis demands new approaches to describing and characterising species that can scale beyond the capacity of professional taxonomists alone. Hundreds of millions of specimen images are now openly available, yet almost none carry structured information about the morphology they depict. We present the Descriptron‐GBIF Annotator,
Alex R. Van Dam, Francisco Hita Garcia
wiley +1 more source
Research of the Path Planning of Mobile Robot based on Improved Ant Colony Algorithm
Jixie chuandong, 2016 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
Improved Ant Colony Algorithm⁃Based Mobile Robot Path Planning
Liaoning Shiyou Huagong Daxue xuebaoAn improved ant colony algorithm is proposed to address issues such as susceptibility to local optima and slow convergence speed. Firstly, the relationship between the current target node and the next target node and the normal distribution function are ...
Jian ZHANG +3 more
doaj +1 more source
Controllable Intrinsic Surface Pattern Generation Using Slime Mold Simulations
Computer Graphics Forum, EarlyView.Abstract Surface‐based pattern simulations have proven valuable for texture design and scientific visualization, but existing methods face several limitations. Most simulations either target a narrow range of pattern types (e.g. spots, branching) or support a broad range of patterns at the cost of time‐consuming parameter tuning.
Jeffrey Layton +2 more
wiley +1 more source
Learning Multi-Tree Classification Models with Ant Colony Optimization [PDF]
, 2014 Ant Colony Optimization (ACO) is a meta-heuristic for solving combinatorial optimization problems, inspired by the behaviour of biological ant colonies. One of the successful applications of ACO is learning classification models (classifiers).
Otero, Fernando E.B. +3 more
core +1 more source