Results 21 to 30 of about 65,434 (314)
Product Search Algorithm Based on Improved Ant Colony Optimization in a Distributed Network
The crowd intelligence-based e-commerce transaction network (CIeTN) is a distributed and unstructured network structure. Smart individuals, such as buyers, sellers, and third-party organizations, can store information in local nodes and connect and share
Zhishuo Liu +4 more
doaj +1 more source
Towards Heuristic Algorithmic Memory [PDF]
We propose a long-term memory design for artificial general intelligence based on Solomonoff's incremental machine learning methods. We introduce four synergistic update algorithms that use a Stochastic Context-Free Grammar as a guiding probability distribution of programs.
openaire +2 more sources
An Opposition-Based Chaotic Salp Swarm Algorithm for Global Optimization
The salp swarm algorithm (SSA) is a bio-heuristic optimization algorithm proposed in 2017. It has been proved that SSA has competitive results compared to several other well-known meta-heuristic algorithms on various optimization problem.
Xiaoqiang Zhao +3 more
doaj +1 more source
A Novel Cooperative Multi-Stage Hyper-Heuristic for Combination Optimization Problems
A hyper-heuristic algorithm is a general solution framework that adaptively selects the optimizer to address complex problems. A classical hyper-heuristic framework consists of two levels, including the high-level heuristic and a set of low-level ...
Fuqing Zhao +4 more
doaj +1 more source
A variable neighborhood-based heuristic for the heterogeneous fleet vehicle routing problem [PDF]
The heterogeneous fleet vehicle routing problem is investigated using some adaptations of the variable neighborhood search (VNS). The initial solution is obtained by Dijkstra's algorithm based on a cost network constructed by the sweep algorithm and the ...
Imran, Arif +2 more
core +1 more source
The Capacitated Vehicle Routing Problem (CVRP) is a special variant of the Vehicle Routing Problem which has been extensively addressed in the literature of Operations Research.
M. K. D. D. Sandaruwan +2 more
doaj +1 more source
Optimization problems are ubiquitous, and obtaining ideal solutions to optimization problems is a challenging task. In terms of denoising the electrocardiogram (ECG) signal, the weight parameters of the adaptive filtering algorithm determine the quality ...
Qing-Wei Chai +3 more
doaj +1 more source
Single Machine Problem with Multi-Rate-Modifying Activities under a Time-Dependent Deterioration
The single machine scheduling problem with multi-rate-modifying activities under a time-dependent deterioration to minimize makespan is studied. After examining the characteristics of the problem, a number of properties and a lower bound are proposed.
M. Huang +5 more
doaj +1 more source
In this research, a new method for population initialisation in meta‐heuristic algorithms based on the Pareto 80/20 rule is presented. The population in a meta‐heuristic algorithm has two important tasks, including pushing the algorithm toward the real ...
Mohammad Reza Hasanzadeh, Farshid Keynia
doaj +1 more source
Survey of research on application of heuristic algorithm in machine learning
Aiming at the problems existing in the application of machine learning algorithm,an optimization system of the machine learning model based on the heuristic algorithm was constructed.Firstly,the existing types of heuristic algorithms and the modeling ...
Yanping SHEN +3 more
doaj +2 more sources

