264,084 research outputs found
Towards the Design of Heuristics by Means of Self-Assembly
The current investigations on hyper-heuristics design have sprung up in two
different flavours: heuristics that choose heuristics and heuristics that
generate heuristics. In the latter, the goal is to develop a problem-domain
independent strategy to automatically generate a good performing heuristic for
the problem at hand. This can be done, for example, by automatically selecting
and combining different low-level heuristics into a problem specific and
effective strategy. Hyper-heuristics raise the level of generality on automated
problem solving by attempting to select and/or generate tailored heuristics for
the problem at hand. Some approaches like genetic programming have been
proposed for this. In this paper, we explore an elegant nature-inspired
alternative based on self-assembly construction processes, in which structures
emerge out of local interactions between autonomous components. This idea
arises from previous works in which computational models of self-assembly were
subject to evolutionary design in order to perform the automatic construction
of user-defined structures. Then, the aim of this paper is to present a novel
methodology for the automated design of heuristics by means of self-assembly
Moral imagination or heuristic toolbox? Events and the risk assessment of structured financial products in the financial bubble
The paper uses the example of the failure of bankers and financial managers to understand the risks of dealing in structured financial products, prior to the financial collapse, to investigate how people respond to crises. It focuses on whether crises cause people to challenge their habitual frames by the application of moral imagination. It is proposed that the structure of financial products and their markets triggered the use of heuristics that contributed to the underestimation of risks. It is further proposed that such framing heuristics are highly specialised to specific contexts, and are part of a wider set of heuristics that people carry in their cognitive âadaptive tool boxesâ. Consequently, it is argued, when a crisis occurs the heuristics are not challenged, but are simply put away, and other more appropriate heuristics put to use until a sense of normality returns, and the use of the old heuristics is resumed
Heuristics for Network Coding in Wireless Networks
Multicast is a central challenge for emerging multi-hop wireless
architectures such as wireless mesh networks, because of its substantial cost
in terms of bandwidth. In this report, we study one specific case of multicast:
broadcasting, sending data from one source to all nodes, in a multi-hop
wireless network. The broadcast we focus on is based on network coding, a
promising avenue for reducing cost; previous work of ours showed that the
performance of network coding with simple heuristics is asymptotically optimal:
each transmission is beneficial to nearly every receiver. This is for
homogenous and large networks of the plan. But for small, sparse or for
inhomogeneous networks, some additional heuristics are required. This report
proposes such additional new heuristics (for selecting rates) for broadcasting
with network coding. Our heuristics are intended to use only simple local
topology information. We detail the logic of the heuristics, and with
experimental results, we illustrate the behavior of the heuristics, and
demonstrate their excellent performance
New efficient constructive heuristics for the hybrid flowshop to minimise makespan: A computational evaluation of heuristics
This paper addresses the hybrid flow shop scheduling problem to minimise makespan, a well-known scheduling problem for which many constructive heuristics have been proposed in the literature. Nevertheless, the state of the art is not clear due to partial or non homogeneous comparisons. In this paper, we review these heuristics and perform a comprehensive computational evaluation to determine which are the most efficient ones. A total of 20 heuristics are implemented and compared in this study. In addition, we propose four new heuristics for the problem. Firstly, two memory-based constructive heuristics are proposed, where a sequence is constructed by inserting jobs one by one in a partial sequence. The most promising insertions tested are kept in a list. However, in contrast to the Tabu search, these insertions are repeated in future iterations instead of forbidding them. Secondly, we propose two constructive heuristics based on Johnsonâs algorithm for the permutation flowshop scheduling problem. The computational results carried out on an extensive testbed show that the new proposals outperform the existing heuristics.Ministerio de Ciencia e InnovaciĂłn DPI2016-80750-
Effective heuristics for new venture formation
Entrepreneurs are often under time pressure and may only have a short window of opportunity to launch their new venture. This means they often have no time for rational analytical decisions and rather rely on heuristics. Past research on entrepreneurial heuristics has primarily focused on predictive modes of control. Studies have analyzed the heuristics that entrepreneurs use when they try to predict the future value and success chances of opportunities. There is increasing awareness â particularly resulting from studies on effectuation â that entrepreneurs engage in non-predictive control as well. While entrepreneurs also use heuristics in this alternative mode of control, these have hardly been studied so far. This conceptual paper addresses this gap in the literature by exploring the heuristics associated with both approaches and by theorizing the conditions under which they are likely to be effective
Mobile Application Usability: Heuristic Evaluation and Evaluation of Heuristics
Ger Joyce, Mariana Lilley, Trevor Barker, and Amanda Jefferies, 'Mobile Application Usability: Heuristic Evaluation and Evaluation of Heuristics', paper presented at AHFE 2016 International Conference on Human Factors, Software, and Systems Engineering. Walt Disney World, Florida USA, 27-31 July 2016Many traditional usability evaluation methods do not consider mobile-specific issues. This can result in mobile applications that abound in usability issues. We empirically evaluate three sets of usability heuristics for use with mobile applications, including a set defined by the authors. While the set of heuristics defined by the authors surface more usability issues in a mobile application than other sets of heuristics, improvements to the set can be made
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