Results 41 to 50 of about 12,784 (210)
Study on the Impact of the NS in the Performance of Meta-Heuristics in the TSP [PDF]
Meta-heuristics have been applied for a long time to the Travelling Salesman Problem (TSP) but information is still lacking in the determination of the parameters with the best performance.
Madureira, A. M. +2 more
core +1 more source
Travelling salesman problem (TSP) is one the problems of NP-complete family, which means finding shortest complete close tour in the graph. This study seeks to solve this problem using Artificial Bee Colony (ABC) Algorithm along with the proposed Discrete Nearest Neighborhood Algorithm (DNNA).
Amir Masoud Rahimi +1 more
openaire +1 more source
This research applies a chaos-driven discrete artificial bee colony (CDABC) algorithm to solve an industrial flow shop scheduling problem with tardiness constraints and simultaneously loaded stations.
Donald Davendra, Frank Herrmann
doaj +1 more source
A Self-Parametrization Framework for Meta-Heuristics
Even while the scientific community has shown great interest in the analysis of meta-heuristics, the analysis of their parameterization has received little attention.
André S. Santos +2 more
doaj +1 more source
Memetic Artificial Bee Colony Algorithm for Large-Scale Global Optimization
Memetic computation (MC) has emerged recently as a new paradigm of efficient algorithms for solving the hardest optimization problems. On the other hand, artificial bees colony (ABC) algorithms demonstrate good performances when solving continuous and ...
Brest, Janez +3 more
core +1 more source
Pseudo derivative evolutionary algorithm and convergence analysis [PDF]
In this paper, a novel evolutionary algorithm (EA), called pseudo-derivative EA (called PDEA), is proposed. The basic idea of PDEA is to use pseudo-derivative, which is obtained based on the information produced during the evolution, and to help search ...
Lu, Chengchao +3 more
core +1 more source
An improved discrete bat algorithm for symmetric and asymmetric traveling salesman problems [PDF]
Bat algorithm is a population metaheuristic proposed in 2010 which is based on the echolocation or bio-sonar characteristics of microbats. Since its first implementation, the bat algorithm has been used in a wide range of fields.
Carballedo, Roberto +4 more
core +2 more sources
A discrete artificial bee colony algorithm for the economic lot scheduling problem
In this study we present a discrete artificial bee colony (DABC) algorithm to solve the economic lot scheduling problem (ELSP) under extended basic period (EBP) approach and power-of-two (PoT) policy. In specific, our algorithm provides a cyclic production schedule of n items to be produced on a single machine such that the production cycle of each ...
Tasgetiren, M.F. +2 more
openaire +3 more sources
A new energy paradigm assisted by AI. ABSTRACT The tremendous penetration of renewable energy sources and the integration of power electronics components increase the complexity of the operation and power system control. The advancements in Artificial Intelligence and machine learning have demonstrated proficiency in processing tasks requiring ...
Balasundaram Bharaneedharan +4 more
wiley +1 more source
With the continuous development of science and technology, electronic devices have begun to enter all aspects of human life, becoming increasingly closely related to human life. Users have higher quality requirements for electronic devices.
Jin Xie, Xinyu Li, Liang Gao
doaj +1 more source

