Organizational Longevity: A Duet of Exploration and Exploitation

2013 ◽  
Vol 1 (1) ◽  
pp. aomafr.2012.020
Author(s):  
Guktae Kim ◽  
Moon-Goo Huh
Keyword(s):  
Exploration And Exploitation ◽  
Organizational Longevity

scholarly journals Buyer Inspired Meta-Heuristic Optimization Algorithm

2020 ◽  
Vol 10 (1) ◽  
pp. 194-219 ◽  
Author(s):  
Sanjoy Debnath ◽  
Wasim Arif ◽  
Srimanta Baishya
Keyword(s):  
Optimization Algorithm ◽  
Optimization Technique ◽  
Statistical Test ◽  
Heuristic Optimization ◽  
Product Choice ◽  
Exploration And Exploitation ◽  
The Social ◽  
Engineering Problems ◽  
The Mean

AbstractNature inspired swarm based meta-heuristic optimization technique is getting considerable attention and established to be very competitive with evolution based and physical based algorithms. This paper proposes a novel Buyer Inspired Meta-heuristic optimization Algorithm (BIMA) inspired form the social behaviour of human being in searching and bargaining for products. In BIMA, exploration and exploitation are achieved through shop to shop hoping and bargaining for products to be purchased based on cost, quality of the product, choice and distance to the shop. Comprehensive simulations are performed on 23 standard mathematical and CEC2017 benchmark functions and 3 engineering problems. An exhaustive comparative analysis with other algorithms is done by performing 30 independent runs and comparing the mean, standard deviation as well as by performing statistical test. The results showed significant improvement in terms of optimum value, convergence speed, and is also statistically more significant in comparison to most of the reported popular algorithms.

Overcoming counter-knowledge through telemedicine communication technologies

2017 ◽  
Vol 31 (7/8) ◽  
pp. 730-745 ◽  
Author(s):  
Jorge Cegarra-Sanchez ◽  
Juan-Gabriel Cegarra-Navarro ◽  
Anthony Wensley ◽  
Jose Diaz Manzano
Keyword(s):  
Learning Process ◽  
Design Methodology ◽  
Communication Technologies ◽  
Regional Hospital ◽  
Potential Contribution ◽  
Exploration And Exploitation ◽  
Negative Effects ◽  
Content Type

Purpose Knowledge acquired from sources of unverified information such as gossip, partial truths or lies, in this paper it is termed as “counter-knowledge.” The purpose of this paper is to explore this topic through an exploration of the links between a Hospital-in-the-Home Units (HHUs) learning process (LP), counter-knowledge, and the utilization of communication technologies. The following two questions are addressed: Does the reduction of counter-knowledge result in the utilization of communication technologies? Does the development of counter-knowledge hinder the LP? Design/methodology/approach This paper examines the relevance of communication technologies to the exploration and exploitation of knowledge for 252 patients of a (HHU) within a Spanish regional hospital. The data collected was analyzed using the PLS-Graph. Findings To HHU managers, this study offers a set of guidelines to assist in their gaining an understanding of the role of counter-knowledge in organizational LPs and the potential contribution of communication technologies. Our findings support the proposition that the negative effects of counter-knowledge can be mitigated by using communication technologies. Originality/value It is argued in this paper that counter-knowledge may play a variety of different roles in the implementation of LPs. Specifically, the assignment of communication technologies to homecare units has given them the means to filter counter-knowledge and prevent users from any possible problems caused by such counter-knowledge.

scholarly journals Ambidexterity as Practice: Individual Ambidexterity Through Paradoxical Practices

2020 ◽  
Vol 56 (2) ◽  
pp. 143-165 ◽  
Author(s):  
Angeliki Papachroni ◽  
Loizos Heracleous
Keyword(s):  
Organization Theory ◽  
Practice Theory ◽  
Greek Philosophy ◽  
Exploration And Exploitation ◽  
Individual Level ◽  
Competing Demands ◽  
The Individual ◽  
Previous Learning

Following the turn to practice in organization theory and the emerging interest in the microfoundations of ambidexterity, understanding the role of individuals in realizing ambidexterity approaches becomes crucial. Drawing insights from Greek philosophy on paradoxes, and practice theory on paradoxes and ambidexterity, we propose a view of individual ambidexterity grounded in paradoxical practices. Existing conceptualizations of ambidexterity are largely based on separation strategies. Contrary to this perspective, we argue that individual ambidexterity can be accomplished via paradoxical practices that renegotiate or transcend boundaries of exploration and exploitation. We identify three such paradoxical practices at the individual level that can advance understanding of ambidexterity: engaging in “hybrid tasks,” capitalizing cumulatively on previous learning, and adopting a mindset of seeking synergies between the competing demands of exploration and exploitation.

scholarly journals Noisy Optimization of Dispatching Policy for the Cranes at the Storage Yard in an Automated Container Terminal

2021 ◽  
Vol 11 (15) ◽  
pp. 6922
Author(s):  
Jeongmin Kim ◽  
Ellen J. Hong ◽  
Youngjee Yang ◽  
Kwang Ryel Ryu
Keyword(s):  
Container Terminal ◽  
Scoring Function ◽  
Weight Vector ◽  
Container Terminals ◽  
Exploration And Exploitation ◽  
Noisy Optimization ◽  
Automated Container Terminal ◽  
Simulation Based ◽  
The Cost ◽  
Operation Schedule

In this paper, we claim that the operation schedule of automated stacking cranes (ASC) in the storage yard of automated container terminals can be built effectively and efficiently by using a crane dispatching policy, and propose a noisy optimization algorithm named N-RTS that can derive such a policy efficiently. To select a job for an ASC, our dispatching policy uses a multi-criteria scoring function to calculate the score of each candidate job using a weighted summation of the evaluations in those criteria. As the calculated score depends on the respective weights of these criteria, and thus a different weight vector gives rise to a different best candidate, a weight vector can be deemed as a policy. A good weight vector, or policy, can be found by a simulation-based search where a candidate policy is evaluated through a computationally expensive simulation of applying the policy to some operation scenarios. We may simplify the simulation to save time but at the cost of sacrificing the evaluation accuracy. N-RTS copes with this dilemma by maintaining a good balance between exploration and exploitation. Experimental results show that the policy derived by N-RTS outperforms other ASC scheduling methods. We also conducted additional experiments using some benchmark functions to validate the performance of N-RTS.

scholarly journals Improved Salp Swarm Algorithm with Simulated Annealing for Solving Engineering Optimization Problems

Symmetry ◽  
2021 ◽  
Vol 13 (6) ◽  
pp. 1092
Author(s):  
Qing Duan ◽  
Lu Wang ◽  
Hongwei Kang ◽  
Yong Shen ◽  
Xingping Sun ◽  
...  
Keyword(s):  
Simulated Annealing ◽  
Optimization Problems ◽  
Chaotic Sequence ◽  
Engineering Optimization ◽  
Exploration And Exploitation ◽  
Salp Swarm Algorithm ◽  
Symmetric Perturbation ◽  
Swarm Algorithm ◽  
Search Capability ◽  
Engineering Optimization Problems

Swarm-based algorithm can successfully avoid the local optimal constraints, thus achieving a smooth balance between exploration and exploitation. Salp swarm algorithm(SSA), as a swarm-based algorithm on account of the predation behavior of the salp, can solve complex daily life optimization problems in nature. SSA also has the problems of local stagnation and slow convergence rate. This paper introduces an improved salp swarm algorithm, which improve the SSA by using the chaotic sequence initialization strategy and symmetric adaptive population division. Moreover, a simulated annealing mechanism based on symmetric perturbation is introduced to enhance the local jumping ability of the algorithm. The improved algorithm is referred to SASSA. The CEC standard benchmark functions are used to evaluate the efficiency of the SASSA and the results demonstrate that the SASSA has better global search capability. SASSA is also applied to solve engineering optimization problems. The experimental results demonstrate that the exploratory and exploitative proclivities of the proposed algorithm and its convergence patterns are vividly improved.

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