Implementation of a fixing strategy and parallelization in a recent global optimization method

Electromagnetism-like Mechanism (EM) heuristic is a population-based stochastic global optimization method inspired by the attraction-repulsion mechanism of the electromagnetism theory. EM was originally proposed for solving continuous global optimization problems with bound constraints and it has been shown that the algorithm performs quite well compared to some other global optimization methods. In this work, we propose two extensions to improve the performance of the original algorithm: First, we introduce a fixing strategy that provides a mechanism for not being trapped in local minima, and thus, improves the effectiveness of the search. Second, we use the proposed fixing strategy to parallelize the algorithm and utilize a cooperative parallel search on the solution space. We then evaluate the performance of our study under three criteria: the quality of the solutions, the number of function evaluations and the number of local minima obtained. Test problems are generated by an algorithm suggested in the literature that builds test problems with varying degrees of difficulty. Finally, we benchmark our results with that of the Knitro solver with the multistart option set

A symmetric rank-one Quasi-Newton line-search method using negative curvature directions

We propose a quasi-Newton line-search method that uses negative curvature directions for solving unconstrained optimization problems. In this method, the symmetric rank-one (SR1) rule is used to update the Hessian approximation. The SR1 update rule is known to have a good numerical performance; however, it does not guarantee positive definiteness of the updated matrix. We first discuss the details of the proposed algorithm and then concentrate on its numerical efficiency. Our extensive computational study shows the potential of the proposed method from different angles, such as; its second order convergence behavior, its exceeding performance when compared to two other existing packages, and its computation profile illustrating the possible bottlenecks in the execution time. We then conclude the paper with the convergence analysis of the proposed method

Proceedings of the Conference on Human and Economic Resources

The global marketplace consists of an increasingly complex arena of competitors within a rapidly changing international environment. New companies are formed on a daily basis, from small businesses to Internet-based operations, to expanding global conglomerates originating from major takeovers and mergers. In the face of these sophisticated and cluttered market conditions, firms try to be heard. They attempt to speak with clear voices about the natures of their operations and the benefits associated with the firm’s goods and services. With so many choices available, and so many media bombarding potential customers with messages, it is vital that what should be communicated is reaching buyers in a clear and consistent manner. External customers are influenced by the internal promise deliverers: the employees, channel partners, customer service personnel, packing and delivery people. Marketing can help by working with human resources departments to identify the key elements in employee motivation, including the effect of incentives and the development of training and improvement programs. This paper explores the impact of integrated marketing communications (IMC) programs in enhancing manager and employee performance and so productivity. From a managerial context, response to this apparently cluttered and amorphous marketing environment has led many organizations to desirable integration of their communications efforts under the umbrella of one strategic marketing communications function - namely integrated marketing communications. The logic of this strategic move would seem to rest partly on assumptions concerning the desire for organizational influence of consumer perceptions. Manager performance and development is possibly an overlooked part of an IMC program. Effective marketing departments and advertising agencies must develop pipelines of new, talented creatives, media buyers, promotions managers, database Web masters, and others in order to succeed in the long term. Also, new people must be trained and prepared for promotions for more important roles over time. Employee performance attitudes reflect morale within the marketing department and also relations with other departments and groups. An effective IMC plan consists of building bridges with other internal departments so that everyone is aware of the thrust and theme of the program. Satisfied and positive employees are more likely to help the firm promote its image.Integrated Marketing Communications Programs, Manager and Employee Performance

An Inexact Successive Quadratic Approximation Method for Convex L-1 Regularized Optimization

We study a Newton-like method for the minimization of an objective function that is the sum of a smooth convex function and an l-1 regularization term. This method, which is sometimes referred to in the literature as a proximal Newton method, computes a step by minimizing a piecewise quadratic model of the objective function. In order to make this approach efficient in practice, it is imperative to perform this inner minimization inexactly. In this paper, we give inexactness conditions that guarantee global convergence and that can be used to control the local rate of convergence of the iteration. Our inexactness conditions are based on a semi-smooth function that represents a (continuous) measure of the optimality conditions of the problem, and that embodies the soft-thresholding iteration. We give careful consideration to the algorithm employed for the inner minimization, and report numerical results on two test sets originating in machine learning

Kütüphanelerin durumu karanlık

Taha Toros Arşivi, Dosya No: 111-Kütüphanelerİstanbul Kalkınma Ajansı (TR10/14/YEN/0033) İstanbul Development Agency (TR10/14/YEN/0033

Şeniz'in küçük lokantasında annem ve arkadaşlarıyla bir öğle buluşması

Taha Toros Arşivi, Dosya No: 112-Lokantalarİstanbul Kalkınma Ajansı (TR10/14/YEN/0033) İstanbul Development Agency (TR10/14/YEN/0033