This paper investigates firms’ competition over price and product design in the context of DesignBuild (DB) procurement auctions. In a DB auction, bidders submit both a price and a design proposal for a public infrastructure project. Each reviewer for the auctioneer (the government) independently evaluates and assigns a score to every design bid. The bidder with the lowest price per design scor...

Two novel schemes of selecting the current best solutions for multiobjective differential evolution are proposed in this paper. Based on the search biases strategy suggested by Runarsson and Yao, a hybrid of multiobjective differential evolution and genetic algorithm with (N+N) framework for constrained MOPs is given. And then the hybrid algorithm adopting the two schemes respectively is compar...

The major commercial marine bivalve in French aquaculture is the Pacific oyster, Crassostrea gigas. Traditionally, bivalve culture relies on juvenile collection from the natural environment but due to the high year-to-year variation in spatfall recruitment the spat production in hatcheries is increasing recently. In this context, a better understanding of the biology of C. gigas larvae is requi...

We present a Bio-PEPA (Biochemical-Performance Evaluation Process Algebra) computational model for the Pacific oyster, derived from a DEB (Dynamic Energy Budget) mathematical model. Experience with this specific model allows us to propose a generic scheme for translation between the widely-used DEB theory and Bio-PEPA. The benefits of translation are that a range of novel analysis tools become ...

NSGA methodology discussed in Section 3.1 suffers from three weaknesses: computational complexity, non-elitist approach and the need to specify a sharing parameter. An improved version of NSGA known as NSGA-II, which resolved the above problems and uses elitism to create a diverse Pareto-optimal front, has been subsequently presented (Deb et al 2002). The main features of NSGA-II are low comput...

Real world optimization problems are often too complex to be solved through analytical means. Evolutionary algorithms, a class of algorithms that borrow paradigms from nature, are particularly well suited to address such problems. These algorithms are stochastic methods of optimization that have become immensely popular recently, because they are derivative-free methods, are not as prone to get...

Computer methods . In applied mechanics and engineering Comput. Methods AppL Mech. Engrg. 190 (2001) 6359-6372 www.elsevier.comllocatelcma Solution of stochastic partial differential equations using Galerkin finite element techniques Manas K. Deb a.\ Iva M. Babuska b, J. Tinsley Oden b a TIECD Software, 6400 Harrogate Drive, Austin. TX 78759, USA b Texas Institute for Computational and Applied ...

Determination of energy transport is crucial for understanding the energy budget and fluid circulation in density varying fluids such as the ocean and the atmosphere. However, it is rarely possible to determine the energy flux field J = pu, which requires simultaneous measurements of the pressure and velocity perturbation fields p and u, respectively. We present a method for obtaining the insta...