Now showing items 151-160 of 166
Structural bias in population-based algorithms
Abstract Challenging optimisation problems are abundant in all areas of science and industry. Since the 1950s, scientists have responded to this by developing ever-diversifying families of ‘black box’ optimisation algorithms. ...
Cluster-Based Population Initialization for differential evolution frameworks
Abstract This article proposes a procedure to perform an intelligent initialization for population-based algorithms. The proposed pre-processing procedure, namely Cluster-Based Population Initialization (CBPI) consists of ...
Multiplicative consistency of intuitionistic reciprocal preference relations and its application to missing values estimation and consensus building
The mathematical modelling and representation of Tanino's multiplicative transitivity property to the case of intuitionistic reciprocal preference relations (IRPRs) is derived via Zadeh's extension principle and the ...
ACTIVE Ethics: An Information Systems Ethics for the Information Age
Purpose – The purpose of this paper is to present a novel mnemonic, ACTIVE, inspired by Mason's 1985 PAPA mnemonic, which will help researchers and IT professionals develop an understanding of the major issues in ...
An Optimization Spiking Neural P System for Approximately Solving Combinatorial Optimization Problems
(World Scientific Publishing Co, 2014-05-02)
The Professionalisation of Information Security: Perspectives of UK Practitioners
In response to the increased “cyber” threats to business, the UK and US Governments are taking steps to develop the training and professional identity of information security practitioners. The ambition of the UK Government ...
Learning Behaviour for Service Personalisation and Adaptation
Context-aware applications within pervasive environments are increasingly being developed as services and deployed in the cloud. As such these services are increasingly required to be adaptive to individual users to meet ...
A benchmark generator for dynamic multi-objective optimization problems
(IEEE Explore, 2014-10-20)
Many real-world optimization problems appear to not only have multiple objectives that conflict each other but also change over time. They are dynamic multi-objective optimization problems (DMOPs) and the corresponding ...
An improved quantum-behaved particle swarm optimization based on linear interpolation
(IEEE Press, 2014-09-22)
Quantum-behaved particle swarm optimization (QPSO) has shown to be an effective algorithm for solving global optimization problems that are of high complexity. This paper presents a new QPSO algorithm, denoted LI-QPSO, ...
Elitism-based immigrants for ant colony optimization in dynamic environments: Adapting the replacement rate
(IEEE Press, 2014-09-22)
The integration of immigrants schemes with ant colony optimization (ACO) algorithms showed promising results on different dynamic optimization problems (DOPs). The principle of integrating immigrants schemes within ACO is ...