Hybrid multiobjective genetic algorithms for integrated dynamic scheduling and routing of jobs and automated-guided vehicle (AGV) in flexible manufacturing systems (FMS) environment

A review on manufacturing flexibility

(2013) Ajai Jain et al.   INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH

Hybrid metaheuristics in combinatorial optimization: A survey

(2011) Christian Blum et al.   APPLIED SOFT COMPUTING

A bilevel decomposition algorithm for simultaneous production scheduling and conflict-free routing for automated guided vehicles

(2010) Tatsushi Nishi et al.   COMPUTERS & OPERATIONS RESEARCH

Job-shop based framework for simultaneous scheduling of machines and automated guided vehicles

(2010) Philippe Lacomme et al.   INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS

Biased random-key genetic algorithms for combinatorial optimization

(2010) José Fernando Gonçalves et al.   JOURNAL OF HEURISTICS

Hybrid metaheuristics with evolutionary algorithms specializing in intensification and diversification: Overview and progress report

(2009) M. Lozano et al.   COMPUTERS & OPERATIONS RESEARCH

A new memetic algorithm for optimizing the partitioning problem of tandem AGV systems

(2009) T.Y. ElMekkawy et al.   INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS

Scheduling of machines and automated guided vehicles in FMS using differential evolution

(2009) A. Gnanavel Babu et al.   INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH

The weighted sum method for multi-objective optimization: new insights

(2009) R. Timothy Marler et al.   STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION

Evolutionary techniques for optimization problems in integrated manufacturing system: State-of-the-art-survey

(2008) Mitsuo Gen et al.   COMPUTERS & INDUSTRIAL ENGINEERING

A simple metaheuristic approach to the simultaneous scheduling of machines and automated guided vehicles

(2008) L. Deroussi et al.   INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH

Modeling of Workflow Congestion and Optimization of Flow Routing in a Manufacturing/Warehouse Facility

(2008) Min Zhang et al.   MANAGEMENT SCIENCE