Similar Search Results

Hybrid meta-heuristics for robust scheduling

Surico, M.; Kaymak, U.; Naso, D.; Dekker, Rommert - 2006

Persistent link: https://www.econbiz.de/10003305838

Economic modeling using evolutionary algorithms : the effect of a binary encoding of strategies

Waltman, Ludo; Eck, Nees Jan van; Dekker, Rommert; … - 2009

Persistent link: https://www.econbiz.de/10008664821

Genetic and memetic algorithms for scheduling railway maintenance activities

Budai, Gabriella; Dekker, Rommert; Kaymak, Uzay - 2009

Persistent link: https://www.econbiz.de/10003954572

Evaluation of scalarization methods and NSGA-II/SPEA2 genetic algorithms for multi-objective optimization of green supply chain design

Plas, Corné van der; Tervonen, Tommi; Dekker, Rommert - 2012

Persistent link: https://www.econbiz.de/10010360668

Economic modeling using evolutionary algorithms : the effect of a binary encoding of strategies

Waltman, Ludo; Eck, Nees Jan van; Dekker, Rommert; … - In: Journal of evolutionary economics : JEE 21 (2011) 5, pp. 737-756

Persistent link: https://www.econbiz.de/10009385318

Economic Modeling Using Evolutionary Algorithms : The Effect of a Binary Encoding of Strategies

Waltman, Ludo - 2010

We are concerned with evolutionary algorithms that are employed for economic modeling purposes. We focus in particular on evolutionary algorithms that use a binary encoding of strategies. These algorithms, commonly referred to as genetic algorithms, are popular in agent-based computational...

Persistent link: https://www.econbiz.de/10013152586

Evaluation of multi-objective optimization approaches for solving green supply chain design problems

Kadziński, Miłosz; Tervonen, Tommi; Tomczyk, Michał K.; … - In: Omega : the international journal of management science 68 (2017), pp. 168-184

Persistent link: https://www.econbiz.de/10011686934