Results 31 to 40 of about 335,404 (286)

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

Optimization of Charge/Discharge Coordination to Satisfy Network Requirements Using Heuristic Algorithms in Vehicle-to-Grid Concept

Advances in Electrical and Computer Engineering, 2018
Image thresholding is the most crucial step in microscopic image analysis to distinguish bacilli objects causing of tuberculosis disease. Therefore, several bi-level thresholding algorithms are widely used to increase the bacilli segmentation accuracy.
DOGAN, A., BAHCECI, S., DALDABAN, F., ALCI, M.   +3 more
doaj   +1 more source

Euristinių algoritmų klasifikavimas

Informacijos Mokslai, 2009
Straipsnis skiriamas euristinių optimizavimo algoritmų, kurie jau kelis dešimtmečius traukia kompiuterių mokslo specialistų dėmesį, klasifikavimo klausimų aptarčiai.
Alfonsas Misevičius, Vytautas Bukšnaitis, Jonas Blonskis   +2 more
doaj   +1 more source

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

The Fast Heuristic Algorithms and Post-Processing Techniques to Design Large and Low-Cost Communication Networks

, 2019
It is challenging to design large and low-cost communication networks. In this paper, we formulate this challenge as the prize-collecting Steiner Tree Problem (PCSTP).
Brazil, Marcus, Halgamuge, Saman, Sun, Yahui, Thomas, Doreen   +3 more
core   +1 more source

Iterated-greedy-based algorithms with beam search initialization for the permutation flowshop to minimize total tardiness [PDF]

, 2018
The permutation flow shop scheduling problem is one of the most studied operations research related problems. Literally, hundreds of exact and approximate algorithms have been proposed to optimise several objective functions. In this paper we address the
Fernández-Viagas Escudero, Víctor, Framiñán Torres, José Manuel, Valente, Jorge M.S.   +2 more
core   +1 more source

Comparison of modern heuristic algorithms for loss reduction in power distribution network equipped with renewable energy resources

Ain Shams Engineering Journal, 2018
This paper presents a comparison between four modern heuristic algorithms for optimal loss reduction of power distribution network equipped with renewable energy resources.
Amr M. Ibrahim, Rania A. Swief
doaj   +1 more source

A tabu search heuristic for the Equitable Coloring Problem [PDF]

, 2014
The Equitable Coloring Problem is a variant of the Graph Coloring Problem where the sizes of two arbitrary color classes differ in at most one unit. This additional condition, called equity constraints, arises naturally in several applications.
A Hajnal, A Hertz, A Tucker, D Brélaz, F Glover, GB Sulong, H Furmanczyk, H Kierstead, I Blöchliger, I Méndez Díaz, I Méndez Díaz, L Bahiense, P Galinier, P Galinier, SK Das, SV Pemmaraju, W Meyer   +16 more
core   +2 more sources

A Novel Approach for Bi-Level Segmentation of Tuberculosis Bacilli Based on Meta-Heuristic Algorithms

Advances in Electrical and Computer Engineering, 2018
Image thresholding is the most crucial step in microscopic image analysis to distinguish bacilli objects causing of tuberculosis disease. Therefore, several bi-level thresholding algorithms are widely used to increase the bacilli segmentation accuracy.
AYAS, S., DOGAN, H., GEDIKLI, E., EKINCI, M.   +3 more
doaj   +1 more source

Customized influence maximization in attributed social networks: heuristic and meta-heuristic algorithms

Complex & Intelligent Systems, 2023
The influence maximization problem is one of the most fundamental topics in social networks. However, most existing studies have focused on non-attributed networks, neglecting the consideration of users’ properties during information propagation ...
Jun-Chao Liang, Yue-Jiao Gong, Xiao-Kun Wu, Yuan Li   +3 more
doaj   +1 more source