Genetic algorithms: foundations and applications

A genetic approach to color image compression

SAC '97 Proceedings of the 1997 ACM symposium on Applied computing

Simulation optimization: a survey of simulation optimization techniques and procedures

Proceedings of the 32nd conference on Winter simulation

Graph Partitioning Using Learning Automata

IEEE Transactions on Computers

The parcel hub scheduling problem: a simulation-based solution approach

Computers and Industrial Engineering

A combined procedure for discrete simulation---optimization problems based on the simulated annealing framework

Computational Optimization and Applications

A fuzzy approach to define sample size for attributes control chart in multistage processes: An application in engine valve manufacturing process

Applied Soft Computing

A genetic algorithm approach to determine the sample size for attribute control charts

Information Sciences: an International Journal

Genetic-based scheduling to solve the parcel hub scheduling problem

Computers and Industrial Engineering

The parcel hub scheduling problem: A simulation-based solution approach

Computers and Industrial Engineering

Steepest-ascent constrained simultaneous perturbation for multiobjective optimization

ACM Transactions on Modeling and Computer Simulation (TOMACS)

A systematic estimation model for fraction nonconforming of a wafer in semiconductor manufacturing research

Applied Soft Computing

Unrelated parallel machine scheduling using local search

Mathematical and Computer Modelling: An International Journal

Stochastic approximation over multidimensional discrete sets with applications to inventory systems and admission control of queueing networks

ACM Transactions on Modeling and Computer Simulation (TOMACS)

Simulation-based optimization over discrete sets with noisy constraints

Proceedings of the Winter Simulation Conference

A new critical path method and a memetic algorithm for flexible job shop scheduling with overlapping operations

Simulation

A reinforcement learning approach to autonomous decision-making in smart electricity markets

Machine Learning

A new genetic algorithm for lot-streaming flow shop scheduling with limited capacity buffers

Journal of Intelligent Manufacturing