In Infrastructure as a Service (IaaS) Clouds, users are charged to utilize cloud services
according to a pay-per-use model. If users intend to run their workflow applications on cloud …

A particle swarm optimization algorithm with crossover operation (PSOCO) is proposed. In
the proposed PSOCO, two different crossover operations are employed in order to breed …

This study considers the aircraft sequencing and scheduling problem under the uncertainty
of arrival and departure delays for multiple heterogeneous mixed-mode parallel runways. To …

The self-organizing migrating algorithm (SOMA) is a population-based meta-heuristic that
belongs to swarm intelligence. In the last 20 years, we can observe two main streams in the …

The Team Orienteering Problem (TOP) is a particular vehicle routing problem in which the
aim is to maximize the profit gained from visiting customers without exceeding a travel …

The order batching problem is a combinatorial optimization problem that arises in the
warehouse order picking process. In the order batching problem, the aim is to find groups of …

Abstract An Automatic Speech Recognition (ASR) system implementation uses a
conventional pattern recognition technique that stores a set of training patterns in classes …

Bare bones PSO is a simple swarm optimization approach that uses a probability distribution
like Gaussian distribution in the position update rules. However, due to its nature, Bare …

This paper presents a variant of Quantum behaved Particle Swarm Optimization (QPSO)
named Q-QPSO for solving global optimization problems. The Q-QPSO algorithm is based …

Generally the complexity of the large scale optimization problem is considered to increase
as the size or dimension of the problem increases and to solve these problems; more …