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Annals of Operations Research, Volume 89

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Volume 89, 1999

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Introduction. 0
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Serena Sordi:
Economic models and the relevance of "chaotic regions": An application to Goodwin's growth cycle model. 3-19
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  - journals/anor/ChiarellaK99
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Carl Chiarella, Alexander Khomin:
Adaptively evolving expectations in models of monetarydynamics- The fundamentalists forward looking. 21-34
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Carl Chiarella, Peter Flaschel:
Keynesian monetary growth dynamicsin open economies. 35-59
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  - journals/anor/BorisovHK99
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V. F. Borisov, G. Hutschenreiter, Arkadii V. Kryazhimskii:
Asymptotic growth ratesin knowledge-exchanging economies. 61-73
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Toichiro Asada:
Investment and finance: A theoretical approach. 75-87
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Adam Krawiec, Marek Szydlowski:
The Kaldor-Kalecki business cycle model. 89-100
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Akio Matsumoto:
Preferable disequilibrium in a nonlinearcobweb economy. 101-123
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Zsuzsanna Bacsi, Béla Vizvári:
Modelling chaotic behaviour in agricultural pricesusing a discrete deterministic nonlinear price model. 125-148
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Claus Weddepohl:
Price adjustment models in a production economy. 149-164
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Daniel Léonard, Kazuo Nishimura:
Nonlinear dynamics in the Cournot modelwithout full information. 165-173
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Franz Wirl:
Dynamic externalities: Comparing conditions for Hopf bifurcationunder laissez-faire and planning. 177-194
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Paulo M. B. Brito:
Local dynamics for optimal control problems of three-dimensional ODE systems. 195-214
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Engelbert J. Dockner, Manfred Plank, Kazuo Nishimura:
Markov Perfect Equilibria for a classof capital accumulation games. 215-230
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Josef Hofbauer:
The spatially dominant equilibrium of a game. 233-251
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Gian Italo Bischi, Mauro Gallegati, Ahmad Naimzada:
Symmetry-breaking bifurcations and representative firm in dynamic duopoly games. 252-271
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Herbert Dawid:
On the dynamics of word of mouth learningwith and without anticipations. 273-295
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  - journals/anor/BomzeS99
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Immanuel M. Bomze, Volker Stix:
Genetic engineering via negative fitness: Evolutionary dynamics for global optimization. 297-318
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Bernd Bullnheimer, Richard F. Hartl, Christine Strauss:
An improved Ant System algorithm for theVehicle Routing Problem. 319-328

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