Results 131 to 140 of about 1,619 (175)
Hybrid Grey Wolf Optimizer with discrete prism dispersion strategy for solving flexible job-shop scheduling problem. [PDF]
Duan Y, Shi L, Li M, Hua K, Liu T, He L.
europepmc +1 more source
Multi-Factor Cost Function-Based Interference-Aware Clustering with Voronoi Cell Partitioning for Dense WSNs. [PDF]
Sam Peter S +3 more
europepmc +1 more source
Predicting IVF outcomes using a logistic regression-ABC hybrid model: A proof-of-concept study on supplement associations. [PDF]
Ejder U, Hepsağ PU.
europepmc +1 more source
Some of the next articles are maybe not open access.
Related searches:
Related searches:
A hybrid discrete artificial bee colony algorithm for permutation flowshop scheduling problem
Applied Soft Computing Journal, 2013To minimize the makespan in permutation flowshop scheduling problems, a hybrid discrete artificial bee colony (HDABC) algorithm is presented. In the HDABC, each solution to the problem is called a food source and represented by a discrete job permutation.
San-Yang Liu
exaly +2 more sources
A discrete artificial bee colony algorithm for single machine scheduling problems
International Journal of Production Research, 2016This paper presents a discrete artificial bee colony algorithm for a single machine earliness–tardiness scheduling problem. The objective of single machine earliness–tardiness scheduling problems is to find a job sequence that minimises the total sum of earliness–tardiness penalties. Artificial bee colony (ABC) algorithm is a swarm-based meta-heuristic,
Erdal Emel
exaly +3 more sources
Neural Computing and Applications, 2012
The artificial bee colony (ABC) algorithm, inspired intelligent behaviors of real honey bee colonies, was introduced by Karaboga for numerical function optimization. The basic ABC has high performance and accuracy, if the solution space of the problem is continuous.
Mustafa Servet Kiran, Mesut Gunduz
exaly +2 more sources
The artificial bee colony (ABC) algorithm, inspired intelligent behaviors of real honey bee colonies, was introduced by Karaboga for numerical function optimization. The basic ABC has high performance and accuracy, if the solution space of the problem is continuous.
Mustafa Servet Kiran, Mesut Gunduz
exaly +2 more sources
A discrete artificial bee colony algorithm for quadratic assignment problem
Journal of High Speed Networks, 2022The quadratic assignment problem (QAP) is a well-known challenging combinational optimization problem that has received many researchers’ attention with varied real-world and industrial applications areas. Using the framework of basic artificial bee colony algorithm, frequently used crossover and mutation operators, and combined with an effective local
Zhong-yuan Peng +2 more
openaire +1 more source

