Over the last few decades several methods have been proposed for handling functional constraints while solving optimization problems using evolutionary algorithms (EAs). However, the presence of equality constraints makes the feasible space very small compared to the entire search space. As a...

Supply chain management is an important management paradigm as it helps to develop mechanisms, align their objectives and coordinate their activities to optimise system performance. Enterprises today have realised the importance of supply chain management to achieve operational efficiency and...

Hybridisation of algorithms to develop efficient solution methods for solving various NP-hard problems has been a practice for the last few years. It can be seen that researchers have tried different permutations and combinations of various exact, heuristic and metaheuristic algorithms to...

This study considers an alternative to zero-one encoding representation of binary chromosomes. In a proposed so-called Hadamard representation the square of each coordinate equals 1. This fact allows the formulation of rules for phenotypes and the development of automated methods of moving frame...

In this article, we are interested in managing engineering design of ad hoc wireless network. We have to design topology of such networks to guarantee all nodes cover. So, spanning tree concept is applied to design and optimise the tree with the constraint of the degree (d-MSTP) of the...

This paper focuses on the flow shop sequence dependent group scheduling (FSDGS) problem with minimisation of total completion time as the criterion (Fm|f<SUB align="right"><SMALL>mls</SMALL></SUB>, prmu, S<SUB align="right"><SMALL>plk</SMALL></SUB>|ΣC<SUB align="right"><SMALL>J</SMALL></SUB>). The research problem is formulated in form of two different mixed integer linear programming (MILP) models. Comparing...</small></sub></small></sub></small></sub>

The fuzzy C-means (FCM) algorithm is a commonly used fuzzy clustering method which conducts data clustering by randomly selecting initial centroids. With larger data size or attribute dimensions, clustering results may be affected and more repetitive computations are required. To compensate the...

Purpose – The purpose of this paper is to develop an unsupervised classification algorithm including feature selection for industrial product classification with the basic philosophy of a supervised Mahalanobis‐Taguchi System (MTS). Design/methodology/approach – Two novel unsupervised...