Results 31 to 40 of about 403,425 (340)

An Opposition-Based Chaotic Salp Swarm Algorithm for Global Optimization

IEEE Access, 2020
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, Fan Yang, Yazhou Han, Yanpeng Cui   +3 more
doaj   +1 more source

Lin-Kernighan Heuristic Adaptations for the Generalized Traveling Salesman Problem [PDF]

, 2010
The Lin-Kernighan heuristic is known to be one of the most successful heuristics for the Traveling Salesman Problem (TSP). It has also proven its efficiency in application to some other problems.
Balas, Ben-Arieh, Bontoux, D. Karapetyan, Fischetti, Fischetti, G. Gutin, Gutin, Helsgaun, Helsgaun, Johnson, Laporte, Laporte, Lin, Noon, Noon, Pintea, Pop, Pop, Rego, Reinelt, Renaud, Snyder, Tasgetiren, Yang   +24 more
core   +3 more sources

A Novel ECG Noise Reduction Technique Employing the Chaotic Adaptive Fish Migration Optimization Algorithm

IEEE Access, 2023
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, Wei-Min Zheng, Lili Xu, Lyuchao Liao   +3 more
doaj   +1 more source

A Heuristic Procedure with Guided Reproduction for Constructing Cocyclic Hadamard Matrices [PDF]

, 2009
A genetic algorithm for constructing cocyclic Hadamard matrices over a given group is described. The novelty of this algorithm is the guided heuristic procedure for reproduction, instead of the classical crossover and mutation operators.
Frau García, María Dolores, Osuna Lucena, Amparo, Álvarez Solano, Víctor   +2 more
core   +1 more source

Towards Heuristic Algorithmic Memory [PDF]

, 2011
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

Single Machine Problem with Multi-Rate-Modifying Activities under a Time-Dependent Deterioration

Journal of Applied Mathematics, 2013
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, Huaping Wu, Vincent Cho, W. H. Ip, Xingwei Wang, C. K. Ng   +5 more
doaj   +1 more source

CVaR minimization by the SRA algorithm [PDF]

, 2011
Using the risk measure CV aR in nancial analysis has become more and more popular recently. In this paper we apply CV aR for portfolio optimization.
A Künzi-Bay, A Prékopa, Cs Fábián, F Andersson, G Pflug, I Deák, I Deák, Kolos Cs. Ágoston, P Artzner, T Rockafellar, T Rockafellar, W-K Mak   +11 more
core   +1 more source

Survey of research on application of heuristic algorithm in machine learning

Tongxin xuebao, 2019
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, Kangfeng ZHENG, Chunhua WU, Yixian YANG   +3 more
doaj   +2 more sources

A Heuristic Approach for International Crude Oil Transportation Scheduling Problems

Journal of Advanced Mechanical Design, Systems, and Manufacturing, 2012
In this paper, we propose a heuristic algorithm to solve a practical ship scheduling problem for international crude oil transportation. The problem is considered as a vehicle routing problem with split deliveries.
Sisi YIN, Tatsushi NISHI, Tsukasa IZUNO
doaj   +1 more source

Dynamic Group-Based Cooperative Optimization Algorithm

IEEE Access, 2020
Several optimization problems from various types of applications have been efficiently resolved using available meta-heuristic algorithms such as Particle Swarm Optimization and Genetic Algorithm.
Mohamad M. Fouad, Ali Ibrahim El-Desouky, Rami Al-Hajj, El-Sayed M. El-Kenawy   +3 more
doaj   +1 more source