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Mario Vanhoucke

Bio: Mario Vanhoucke is an academic researcher from Katholieke Universiteit Leuven. The author has contributed to research in topics: Schedule (project management) & Project management. The author has an hindex of 46, co-authored 279 publications receiving 7455 citations. Previous affiliations of Mario Vanhoucke include Northwestern Polytechnical University & Ghent University.


Papers
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TL;DR: In this paper, the authors compare the classic earned value performance indicators SV and SPI with the newly developed earned schedule performance indicators S( t ) and SPI( t ), and compare the three methods from literature to forecast total project duration.

338 citations

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TL;DR: This paper combines elements from scatter search, a generic population-based evolutionary search method, and a recently introduced heuristic method for the optimisation of unconstrained continuous functions based on an analogy with electromagnetism theory to provide near-optimal heuristic solutions for resource-constrained project scheduling.

332 citations

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TL;DR: A bi-population genetic algorithm is applied, which makes use of two separate populations and extend the serial schedule generation scheme by introducing a mode improvement procedure, which reveals that this procedure is amongst the most competitive algorithms.

300 citations

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TL;DR: The network generator meets the shortcomings of former network generators since it employs a wide range of different parameters which have been shown to serve as possible predictors of the hardness of different project scheduling problems.
Abstract: In this paper, we describe RanGen, a random network generator for generating activity-on-the-node networks and accompanying data for different classes of project scheduling problems The objective is to construct random networks which satisfy preset values of the parameters used to control the hardness of a problem instance Both parameters which are related to the network topology and resource-related parameters are implemented The network generator meets the shortcomings of former network generators since it employs a wide range of different parameters which have been shown to serve as possible predictors of the hardness of different project scheduling problems Some of them have been implemented in former network generators while others have not

261 citations

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TL;DR: It is illustrated that the GA outperforms all state-of-the-art heuristics and that the DBGA further improves the performance of the GA.
Abstract: In the last few decades, the resource-constrained project-scheduling problem has become a popular problem type in operations research. However, due to its strongly NP-hard status, the effectiveness of exact optimisation procedures is restricted to relatively small instances. In this paper, we present a new genetic algorithm (GA) for this problem that is able to provide near-optimal heuristic solutions. This GA procedure has been extended by a so-called decomposition-based genetic algorithm (DBGA) that iteratively solves subparts of the project. We present computational experiments on two data sets. The first benchmark set is used to illustrate the performance of both the GA and the DBGA. The second set is used to compare the results with current state-of-the-art heuristics and to show that the procedure is capable of producing consistently good results for challenging problem instances. We illustrate that the GA outperforms all state-of-the-art heuristics and that the DBGA further improves the performance of the GA.

174 citations


Cited by
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Journal ArticleDOI
Peter Vandamme1, Bruno Pot1, Monique Gillis1, P. De Vos1, Karel Kersters1, Jean Swings1 
TL;DR: In this review, the practice of polyphasic taxonomy is discussed for four groups of bacteria chosen for their relevance, complexity, or both: the genera Xanthomonas and Campylobacter, the lactic acid bacteria, and the family Comamonadaceae.

1,651 citations

Journal ArticleDOI
TL;DR: No satisfactory vaccines against human brucellosis are available, although attenuated purE mutants appear promising, andPolymerase chain reaction and gene probe development may provide more effective typing methods.
Abstract: Brucellosis remains a major zoonosis worldwide Although many countries have eradicated Brucella abortus from cattle, in some areas Brucella melitensis has emerged as a cause of infection in this species as well as in sheep and goats Despite vaccination campaigns with the Rev 1 strain, B melitensis remains the principal cause of human brucellosis Brucella suis is also emerging as an agent of infection in cattle, thus extending its opportunities to infect humans The recent isolation of distinctive strains of Brucella from marine mammals has extended its ecologic range Molecular genetic studies have demonstrated phylogenetic affiliation to Agrobacterium, Phyllobacterium, Ochrobactrum, and Rhizobium Polymerase chain reaction and gene probe development may provide more effective typing methods Pathogenicity is related to production of lipopolysaccharides containing a poly N-formyl perosamine O chain, CuZn superoxide dismutase, erythrlose phosphate dehydrogenase, stress-induced proteins related to intracellular survival, and adenine and guanine monophosphate inhibitors of phagocyte functions Protective immunity is conferred by antibody to lipopolysaccharide and T-cell-mediated macrophage activation triggered by protein antigens Diagnosis still centers on isolation of the organism and serologic test results, especially enzyme immunoassay, which is replacing other methods Polymerase chain reaction is also under evaluation Therapy is based on tetracyclines with or without rifampicin, aminoglycosides, or quinolones No satisfactory vaccines against human brucellosis are available, although attenuated purE mutants appear promising

1,316 citations

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TL;DR: The fundamental approaches for scheduling under uncertainty: reactive scheduling, stochastic project scheduling, fuzzy project Scheduling, robust (proactive) scheduling and sensitivity analysis are reviewed.

881 citations

Journal ArticleDOI
TL;DR: An overview over various extensions of the basic RCPSP, including popular variants and extensions such as multiple modes, minimal and maximal time lags, and net present value-based objectives, is given.

856 citations