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International Journal of<br />

Intelligent Computing<br />

and Cybernetics<br />

<strong>Outstanding</strong> <strong>Paper</strong><br />

Weaving the social fabric: the past, present and<br />

future of optimization problem solving with<br />

cultural algorithms<br />

Robert G. Reynolds<br />

Xiangdong Che<br />

Computer Science Department, Wayne State University,<br />

Detroit, Michigan, USA<br />

Mostafa Ali<br />

Department of Computer Information Systems,<br />

Jordan University of Science and Technology,<br />

Irbid, Jordan<br />

Abstract<br />

Purpose – The purpose of this paper is to investigate the<br />

performance of cultural algorithms (CAs) over a complete range of<br />

optimization problem complexities, from fixed to chaotic and<br />

specifically observing whether there is a given homogeneous agent<br />

topology within a culture which can dominate across all<br />

complexities.<br />

Design/methodology/approach – In order to apply the CA overall<br />

complexity classes it was necessary to generalize on its<br />

co-evolutionary nature to keep the variation in the population across<br />

all complexities. First, previous CA approaches were reviewed.<br />

Based on this the existing implementation was extended to produce<br />

a more general one that could be applied across all complexity<br />

classes. As a result a new version of the cultural algorithms toolkit,<br />

CAT 2.0, was produced, which supported a variety of<br />

co-evolutionary features at both the knowledge and population<br />

levels. The system was applied to the solution of a 150 randomly<br />

generated problems ranging from simple to chaotic complexity<br />

classes.<br />

Findings – No homogeneous social fabric tested was dominant<br />

over all categories of problem complexity; as the complexity of<br />

problems increased so did the complexity of the social fabric that<br />

was need to deal with it efficiently. A social fabric that was good for<br />

fixed problems might be less adequate for periodic problems, and<br />

chaotic ones.<br />

Originality/value – The paper presents experimental evidence that<br />

social structure of a cultural system can be related to the frequency<br />

and complexity type of the problems that presented to a cultural<br />

system.<br />

Keywords Cultural algorithm, Multi-agent simulation, Complexity,<br />

Social fabric<br />

www.emeraldinsight.com/10.1108/17563781011094179<br />

IJICC<br />

Volume 3 Number 4, 2010, pp. 561-92<br />

Editor: Haibin Duan<br />

35<br />

International Journal of<br />

Law and Management<br />

<strong>Outstanding</strong> <strong>Paper</strong><br />

The United Kingdom’s Companies Act of 2006<br />

and the capital asset pricing model: attaining<br />

the corporate objective<br />

S. Paulo<br />

Commerce Division, Lincoln University, Canterbury, New<br />

Zealand<br />

Abstract<br />

Purpose – The purpose of this paper is to consider the attainment<br />

of the corporate objective of the UK Companies Act of 2006 Section<br />

172(1) from the perspective of financial valuations that are reliant on<br />

the cost of capital. The cost of capital plays an important role in<br />

many of the models and propositions that are routinely used for<br />

financial valuation and decision making.<br />

Design/methodology/approach – From the perspective of<br />

financial valuations that are used to guide decision making that is in<br />

accordance with the corporate objective of the UK Companies Act of<br />

2006 Section 172(1), managers and directors require a valid,<br />

reliable, and interpretable cost of capital. The theory, models, and<br />

propositions of financial management, whether they be investment,<br />

financing, or distributions (Sections 829-853) decisions, are<br />

dependent on the cost of capital. This paper has three main tasks.<br />

First, the relevant sections of UK corporate statute with regard to the<br />

corporate objective need to be identified and presented. Second, a<br />

brief review of the function and role of the cost of capital for the<br />

valuations upon which investment, financing, and dividend<br />

decisions are based, is undertaken to ensure that the role and<br />

function of this key financial metric is clearly recognized. Third,<br />

since the capital asset pricing model (CAPM) is so widely and<br />

exclusively used, often without recourse to other approaches to<br />

calculation of the cost of capital, an update of CAPM empirical<br />

evidence is undertaken to affirm the 2004 findings and subsequent<br />

recommendations by Fama and French that the CAPM is not an<br />

acceptable way of calculating the cost of capital.<br />

Findings – It is doubtful whether directors, who use an empirically<br />

invalid and unreliable valuation model such as the CAPM to<br />

calculate the cost of capital, will be able to meaningfully and<br />

purposefully make decisions consistent with the ‘‘enlightened<br />

shareholder value’’. Managers and directors need to use<br />

approaches to the cost of capital that are valid and can be<br />

empirically verified.<br />

Practical implications – This paper recommends that directors of<br />

public companies who make decisions using financial valuations<br />

that embody the cost of capital should ensure that models other<br />

than the CAPM are used; otherwise, they may find it difficult unable<br />

to defend challenges to their statutory duty of attaining the corporate<br />

objective.<br />

Originality/value – An update of CAPM empirical evidence is<br />

undertaken to affirm the findings and subsequent recommendations<br />

by Fama and French that the CAPM is not an acceptable way of<br />

calculating the cost of capital.<br />

Keywords Capital asset pricing model, Cost of capital, Directors,<br />

Legislation, Strategic objectives, United Kingdom<br />

www.emeraldinsight.com/10.1108/17542431011059313<br />

IJLMA<br />

Volume 52 Number 4, 2010, pp. 253-64<br />

Editors: Chris Gale and Clive Smallman

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