Search Results - subject:"Algorithms"

A new class of exact penalty functions and penalty algorithms

Wang, Changyu; Ma, Cheng; Zhou, Jinchuan - In: Journal of Global Optimization 58 (2014) 1, pp. 51-73

For nonlinear programming problems, we propose a new class of smooth exact penalty functions, which includes both barrier-type and exterior-type penalty functions as special cases. We develop necessary and sufficient conditions for exact penalty property and inverse proposition of exact...

Persistent link: https://www.econbiz.de/10010896410

Dating business cycle turning points: The Greek economy during 1970-2012 and the recent recession

Tsouma, Ekaterini - In: OECD Journal: Journal of Business Cycle Measurement and … 2014 (2014) 1, pp. 1-24

This paper establishes a reference chronology for the Greek business cycle from early 1970 to late 2012, against the backdrop of the late 2000s global recession and the most recent domestic economic developments, which once again stress the significance of dating business cycle turning points....

Persistent link: https://www.econbiz.de/10010903578

A note on the representative adaptive learning algorithm

Berardi, Michele; Galimberti, Jaqueson K. - In: Economics Letters 124 (2014) 1, pp. 104-107

We compare forecasts from different adaptive learning algorithms and calibrations applied to US real-time data on …

Persistent link: https://www.econbiz.de/10010784969

Selecting machines and buffers in unreliable assembly/disassembly manufacturing networks

Nahas, Nabil; Nourelfath, Mustapha; Gendreau, Michel - In: International Journal of Production Economics 154 (2014) C, pp. 113-126

This paper formulates an optimal design model for assembly/disassembly manufacturing networks. The objective is to maximize production rate subject to a total cost constraint. Machines are chosen from a list of products available on the market, and sizes of the buffers are chosen within a...

Persistent link: https://www.econbiz.de/10010785062

A heuristic for BILP problems: The Single Source Capacitated Facility Location Problem

Guastaroba, G.; Speranza, M.G. - In: European Journal of Operational Research 238 (2014) 2, pp. 438-450

. Variants based on variable fixing are proposed to improve the efficiency of the Kernel Search framework. The algorithms are …

Persistent link: https://www.econbiz.de/10010785314

On rigorous upper bounds to a global optimum

Kearfott, Ralph - In: Journal of Global Optimization 59 (2014) 2, pp. 459-476

In branch and bound algorithms in constrained global optimization, a sharp upper bound on the global optimum is … algorithms can simply evaluate the objective at such points to obtain approximate upper bounds. However, such points may actually … algorithms, objective values are accepted as upper bounds only if the point of evaluation is proven to be feasible. Such …

Persistent link: https://www.econbiz.de/10010793963

Irrigation Planning and Management Through Optimization Modelling

Singh, Ajay - In: Water Resources Management 28 (2014) 1, pp. 1-14

, dynamic programming, and genetic algorithms. This review provides the basis for the selection of appropriate methodology for …

Persistent link: https://www.econbiz.de/10010794357

Coevolution of finite automata with errors

Ioannou, Christos - In: Journal of Evolutionary Economics 24 (2014) 3, pp. 541-571

We use a genetic algorithm to simulate the evolution of error-prone finite automata in the repeated Prisoner’s Dilemma game. In particular, the automata are subjected to implementation and perception errors. The computational experiments examine whether and how the distribution of outcomes and...

Persistent link: https://www.econbiz.de/10010794988

Modeling framework for optimal evacuation of large-scale crowded pedestrian facilities

Abdelghany, Ahmed; Abdelghany, Khaled; Mahmassani, Hani; … - In: European Journal of Operational Research 237 (2014) 3, pp. 1105-1118

The paper presents a simulation–optimization modeling framework for the evacuation of large-scale pedestrian facilities with multiple exit gates. The framework integrates a genetic algorithm (GA) and a microscopic pedestrian simulation–assignment model. The GA searches for the optimal...

Persistent link: https://www.econbiz.de/10010871096

Learning from incomplete data via parameterized t mixture models through eigenvalue decomposition

Lin, Tsung-I - In: Computational Statistics & Data Analysis 71 (2014) C, pp. 183-195

EM-type algorithms are developed for parameter estimation of these models under a missing at random (MAR) mechanism. For …

Persistent link: https://www.econbiz.de/10010871421