A Genetic Algorithm for Scheduling Alternative Tasks Subject to Technical Failure

DOI10.1007/978-3-319-18567-5_7zbMath1365.90137OpenAlexW2323955386MaRDI QIDQ5270510

Dalila B. M. M. Fontes, José Fernando Gonçalves

Publication date: 23 June 2017

Published in: Springer Proceedings in Mathematics & Statistics (Search for Journal in Brave)

Full work available at URL: http://repositorio.inesctec.pt/handle/123456789/5272

zbMATH Keywords

biased random-key genetic algorithmsmaximization of expected net present valuescheduling under activity failure

Mathematics Subject Classification ID

Deterministic scheduling theory in operations research (90B35) Approximation methods and heuristics in mathematical programming (90C59)

Cites Work

• An exact method for scheduling of the alternative technologies in R\&D projects
• A multi-population hybrid biased random key genetic algorithm for hop-constrained trees in nonlinear cost flow networks
• Scheduling modular projects on a bottleneck resource
• A hybrid biased random key genetic algorithm approach for the unit commitment problem
• R\&D pipeline management: task interdependencies and risk management
• A parallel multi-population biased random-key genetic algorithm for a container loading problem
• Rangen: A random network generator for activity-on-the-node networks
• A genetic algorithm for the resource constrained multi-project scheduling problem
• Project planning with alternative technologies in uncertain environments
• A biased random-key genetic algorithm for the minimization of open stacks problem
• Genetic Algorithms and Random Keys for Sequencing and Optimization
• A branch‐and‐bound algorithm for scheduling of new product development projects
• An Experimental Investigation and Comparative Evaluation of Production Line Balancing Techniques

This page was built for publication: A Genetic Algorithm for Scheduling Alternative Tasks Subject to Technical Failure