A Novel Hybrid Genetic Local Search Algorithm for Feature Selection and Weighting with an Application in Strategic Decision Making in Innovation Management

2017 ◽  
Author(s):  
Duygu Yilmaz Eroglu ◽  
Kemal Kilic
Keyword(s):  
Decision Making ◽  
Feature Selection ◽  
Local Search ◽  
Search Algorithm ◽  
Innovation Management ◽  
Strategic Decision ◽  
Strategic Decision Making ◽  
Local Search Algorithm ◽  
Genetic Local Search

scholarly journals GASAT: A Genetic Local Search Algorithm for the Satisfiability Problem

2006 ◽  
Vol 14 (2) ◽  
pp. 223-253 ◽  
Author(s):  
Frédéric Lardeux ◽  
Frédéric Saubion ◽  
Jin-Kao Hao
Keyword(s):  
Tabu Search ◽  
Local Search ◽  
Hybrid Algorithm ◽  
State Of The Art ◽  
Search Algorithm ◽  
Satisfiability Problem ◽  
Local Search Algorithm ◽  
Overall Performance ◽  
Genetic Local Search ◽  
Search Stage

This paper presents GASAT, a hybrid algorithm for the satisfiability problem (SAT). The main feature of GASAT is that it includes a recombination stage based on a specific crossover and a tabu search stage. We have conducted experiments to evaluate the different components of GASAT and to compare its overall performance with state-of-the-art SAT algorithms. These experiments show that GASAT provides very competitive results.

scholarly journals Knowledge sharing and collaborative relationships in business ecosystems and networks

2017 ◽  
Vol 117 (7) ◽  
pp. 1407-1425 ◽  
Author(s):  
Anna Wulf ◽  
Lynne Butel
Keyword(s):  
Decision Making ◽  
Knowledge Sharing ◽  
Business Performance ◽  
Innovation Management ◽  
Organisational Learning ◽  
Strategic Decision ◽  
Strategic Decision Making ◽  
Collaborative Relationships ◽  
Content Type ◽  
Business Ecosystem

Purpose The sharing of knowledge between partners in collaborative relationships is widely accepted to be fundamental to supporting strategic decision making, particularly in relation to innovation management and business sustainability. The purpose of this paper is to focus on how the structure of collaborative relationships in business networks may determine successful knowledge sharing and thus improve decision making and business performance. Design/methodology/approach Expert interviews were conducted with participants operating in networks and business ecosystem in four different sectors in Italy and Germany, exploring the process of knowledge sharing, organisational learning and decision making within collaborative relationships. A qualitative textual analysis was used to analyse the experts’ responses. Findings The research found that an organisation’s network position and the network structure, as well as the governance and richness of the business ecosystem in which it operates, influence its ability to share knowledge, to innovate and therefore to compete sustainably. Research limitations/implications The research demonstrates that innovative strategic decision making, based on access to appropriate knowledge, occurs within the context of social and business network relations operating within a broader more diverse business ecosystem. Closer dyadic or small working group ties best facilitate trust and sharing of the most valuable knowledge. Appropriate participation in and management of such structures is therefore essential to support knowledge-based decision making, and critical to sustained competitive advantage. Originality/value The research focusses on how interfirm relationships are established and maintained, how firms establish trust and facilitate knowledge sharing forming the basis of organisational learning.

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