Swarm intelligence (SI) is briefly defined as the collective behaviour of decentralized and
self-organized swarms. The well known examples for these swarms are bird flocks, fish …

This paper surveys the intersection of two fascinating and increasingly popular domains:
swarm intelligence and optimization. Whereas optimization has been popular academic …

Shortest common supersequence (SCS) is a classical NP-hard problem, where a string to
be constructed that is the supersequence of a given string set. The SCS problem has an …

Nowadays computers are used to solve a variety and multitude of complex problems facing
in every sphere of peoples' life. However, many of the problems are intractable in nature …

As a non-deterministic polynomial hard (NP-hard) problem, the shortest common
supersequence (SCS) problem is normally solved by heuristic or metaheuristic algorithms …

The Shortest Common Supersequence problem is an NP-hard optimization problem that
has a vast use in real world problems. It is used in data compression and different bio …

This research paper focuses on the development of a deterministic heuristic algorithm for
solving the problem of transforming jobshops into flowshops with the aim of minimizing a …

In this paper a constraint shortest common supersequence problem, ie the string including
constraint shortest common supersequence problem was considered. Shortest common …

The shortest common supersequence (SCS) problem is a classical NP-hard problem, which
is normally solved by heuristic algorithms. One important heuristic that is inspired by the …

Cryptographic approaches are traditional and preferred methodologies used to preserve the
privacy of data released for analysis. Privacy Preserving Data Mining (PPDM) is a new trend …