This overview gravitates on research achievements that have recently emerged from the
confluence between Big Data technologies and bio-inspired computation. A manifold of …

Ant-based algorithms simulate the cooperative behaviour of real ants in finding food
resources. A significant number of studies have focused on the self-organised behaviour of …

Sebagai tempat penyimpanan permanent tranksaksi proses bisnis, database merupakan
sesuatu yang sangat penting dan merupakan keharusan. Seringkali penggunaan database …

Particle swarm optimisation (PSO) is a powerful metaheuristics method that is motivated by
the collective behaviour of the intelligence swarms. The lack of velocity controls is a major …

As a promising and innovative research field, bioinformatics has attracted increasing
attention recently. Beneath the enormous number of open problems in this field, one …

Multi-project management is very complex task, which often involves the integration of
varieties of resources and schedules. In recent years, many researchers have proposed …

Location Area Planning (LAP) problem is to partition the cellular mobile network into location
areas. It is very important to determine which one cellular network the users are. One …

This paper proposes a novel variant of cooperative quantum‐behaved particle swarm
optimization (CQPSO) algorithm with two mechanisms to reduce the search space and avoid …

Dans le domaine des entrepôts de données, la plupart des approches de répartition se
basent essentiellement sur les techniques de fragmentation et d'allocation des tables. Ces …

Finding the right horizontal fragmentation is one of the core database tuning tasks, helping
to improve query performance by reducing the data accessed or improving parallelism. More …