Lot streaming and scheduling heuristics for m-machine no-wait flowshops
Computers and Industrial Engineering
Minimizing the mean weighted absolute deviation from due dates in lot-streaming flow shop scheduling
Computers and Operations Research
A discrete version of particle swarm optimization for flowshop scheduling problems
Computers and Operations Research
On the performance of artificial bee colony (ABC) algorithm
Applied Soft Computing
Journal of Global Optimization
Evolutionary algorithms for scheduling m-machine flow shop with lot streaming
Robotics and Computer-Integrated Manufacturing
An artificial bee colony algorithm for the leaf-constrained minimum spanning tree problem
Applied Soft Computing
Some scheduling problems with general position-dependent and time-dependent learning effects
Information Sciences: an International Journal
Structural inverse analysis by hybrid simplex artificial bee colony algorithms
Computers and Structures
Some single-machine and m-machine flowshop scheduling problems with learning considerations
Information Sciences: an International Journal
Flow shop scheduling with lot streaming
Operations Research Letters
A swarm intelligence approach to the quadratic minimum spanning tree problem
Information Sciences: an International Journal
Information Sciences: an International Journal
A swarm intelligence approach to the quadratic multiple knapsack problem
ICONIP'10 Proceedings of the 17th international conference on Neural information processing: theory and algorithms - Volume Part I
Information Sciences: an International Journal
Rosenbrock artificial bee colony algorithm for accurate global optimization of numerical functions
Information Sciences: an International Journal
COCOA'11 Proceedings of the 5th international conference on Combinatorial optimization and applications
DisABC: A new artificial bee colony algorithm for binary optimization
Applied Soft Computing
Information Sciences: an International Journal
Information Sciences: an International Journal
Enhanced parallel cat swarm optimization based on the Taguchi method
Expert Systems with Applications: An International Journal
Job Shop Scheduling with the Best-so-far ABC
Engineering Applications of Artificial Intelligence
ICIC'11 Proceedings of the 7th international conference on Advanced Intelligent Computing Theories and Applications: with aspects of artificial intelligence
ICIC'11 Proceedings of the 7th international conference on Advanced Intelligent Computing Theories and Applications: with aspects of artificial intelligence
Minimizing the total flowtime flowshop with blocking using a discrete artificial bee colony
ICIC'11 Proceedings of the 7th international conference on Advanced Intelligent Computing Theories and Applications: with aspects of artificial intelligence
Artificial bee colony algorithm with self adaptive colony size
SEMCCO'11 Proceedings of the Second international conference on Swarm, Evolutionary, and Memetic Computing - Volume Part I
A differential evolution algorithm for lot-streaming flow shop scheduling problem
ICIC'11 Proceedings of the 7th international conference on Advanced Intelligent Computing
A hybrid artificial bee colony algorithm for graph 3-coloring
SIDE'12 Proceedings of the 2012 international conference on Swarm and Evolutionary Computation
Artificial bee colony algorithm for fuzzy job shop scheduling
International Journal of Computer Applications in Technology
A web-service for automated software refactoring using artificial bee colony optimization
ICSI'12 Proceedings of the Third international conference on Advances in Swarm Intelligence - Volume Part I
A multi-threshold segmentation approach based on Artificial Bee Colony optimization
Applied Intelligence
Swarm intelligence approaches to estimate electricity energy demand in Turkey
Knowledge-Based Systems
Discrete event modeling of swarm intelligence based routing in network systems
Information Sciences: an International Journal
Advances in Engineering Software
Identification of structural models using a modified Artificial Bee Colony algorithm
Computers and Structures
Differential Operators Embedded Artificial Bee Colony Algorithm
International Journal of Applied Evolutionary Computation
An artificial bee colony algorithm for the maximally diverse grouping problem
Information Sciences: an International Journal
Modeling gender evolution and gap in science and technology using ecological dynamics
Expert Systems with Applications: An International Journal
Honey bee behavior inspired load balancing of tasks in cloud computing environments
Applied Soft Computing
Adaptive artificial bee colony optimization
Proceedings of the 15th annual conference on Genetic and evolutionary computation
Block matching algorithm for motion estimation based on Artificial Bee Colony (ABC)
Applied Soft Computing
International Journal of Computer Applications in Technology
Artificial bee colony algorithm: a survey
International Journal of Advanced Intelligence Paradigms
A novel artificial bee colony algorithm with Powell's method
Applied Soft Computing
Artificial bee colony for the standard cell placement problem
International Journal of Metaheuristics
Performance analysis of the coarse-grained parallel model of the artificial bee colony algorithm
Information Sciences: an International Journal
New heuristic approaches for the dominating tree problem
Applied Soft Computing
Journal of Intelligent Manufacturing
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In this paper, a discrete artificial bee colony (DABC) algorithm is proposed to solve the lot-streaming flow shop scheduling problem with the criterion of total weighted earliness and tardiness penalties under both the idling and no-idling cases. Unlike the original ABC algorithm, the proposed DABC algorithm represents a food source as a discrete job permutation and applies discrete operators to generate new neighboring food sources for the employed bees, onlookers and scouts. An efficient initialization scheme, which is based on the earliest due date (EDD), the smallest slack time on the last machine (LSL) and the smallest overall slack time (OSL) rules, is presented to construct the initial population with certain quality and diversity. In addition, a self adaptive strategy for generating neighboring food sources based on insert and swap operators is developed to enable the DABC algorithm to work on discrete/combinatorial spaces. Furthermore, a simple but effective local search approach is embedded in the proposed DABC algorithm to enhance the local intensification capability. Through the analysis of experimental results, the highly effective performance of the proposed DABC algorithm is shown against the best performing algorithms from the literature.