All Outputs (40)

A multi-agent based approach for change management in manufacturing enterprises (2013)
Journal Article

© 2013, Springer Science+Business Media New York. Change management becomes an unavoidable necessity for manufacturing enterprises. Since change in business processes carries significant impact on the performance of manufacturing companies, a change... Read More about A multi-agent based approach for change management in manufacturing enterprises.

A quantitative approach for measuring process innovation: A case study in a manufacturing company (2013)
Journal Article

Process management and innovation arguably remain among the concepts under focus of recent researches since there is no significantly outstanding method to measure and monitor the level of innovation in the manufacturing processes over a particular t... Read More about A quantitative approach for measuring process innovation: A case study in a manufacturing company.

Heuristic-based neural networks for stochastic dynamic lot sizing problem (2013)
Journal Article

Multi-period single-item lot sizing problem under stochastic environment has been tackled by few researchers and remains in need of further studies. It is mathematically intractable due to its complex structure. In this paper, an optimum lot-sizing p... Read More about Heuristic-based neural networks for stochastic dynamic lot sizing problem.

A hybrid swarm intelligence algorithm for multiuser scheduling in HSDPA (2013)
Journal Article

Multiuser scheduling is an important aspect in the performance optimization of a wireless network since it allows multiple users to access a shared channel efficiently by exploiting multiuser diversity. To perform efficient scheduling, channel state... Read More about A hybrid swarm intelligence algorithm for multiuser scheduling in HSDPA.

Multiuser scheduling on the LTE downlink with meta-heuristic approaches (2013)
Journal Article

In this paper, the issue of multi-user radio resource scheduling on the downlink of a Long Term Evolution (LTE) cellular communication system is addressed. An optimization model has been proposed earlier, where radio resources for multiple users are... Read More about Multiuser scheduling on the LTE downlink with meta-heuristic approaches.

Multi objective resource scheduling in LTE networks using reinforcement learning (2012)
Journal Article

The use of the intelligent packet scheduling process is absolutely necessary in order to make the radio resources usage more efficient in recent high-bit-rate demanding radio access technologies such as Long Term Evolution (LTE). Packet scheduling pr... Read More about Multi objective resource scheduling in LTE networks using reinforcement learning.

Coordinating metaheuristic agents with swarm intelligence (2010)
Journal Article

Coordination of multi agent systems remains as a problem since there is no prominent method suggests any universal solution. Metaheuristic agents are specific implementations of multi-agent systems, which imposes working together to solve optimisatio... Read More about Coordinating metaheuristic agents with swarm intelligence.

A new orthogonal array based crossover, with analysis of gene interactions, for evolutionary algorithms and its application to car door design (2010)
Journal Article

Recent research shows that orthogonal array based crossovers outperform standard and existing crossovers in evolutionary algorithms in solving parametrical problems with high dimensions and multi-optima. However, those crossovers employed so far, ign... Read More about A new orthogonal array based crossover, with analysis of gene interactions, for evolutionary algorithms and its application to car door design.

Multiuser scheduling in high speed downlink packet access (2009)
Journal Article

Multiuser scheduling is an important aspect in the performance optimisation of a wireless network as it allows multiple users to efficiently access a shared channel by exploiting multiuser diversity. For example, the 3GPP cellular standard supports m... Read More about Multiuser scheduling in high speed downlink packet access.

An exploration of the literature on the use of 'swarm intelligence-based techniques' for public service problems (2009)
Journal Article

The importance of studying public service systems and finding robust solutions to the problems encountered in public service management has increased considerably over the past decade. One of the main objectives is to find acceptable solutions to Pub... Read More about An exploration of the literature on the use of 'swarm intelligence-based techniques' for public service problems.

A statistics-based genetic algorithm for quality improvements of power supplies (2009)
Journal Article

This paper presents a new statistics-based evolutionary algorithm to improve the qualities of power supplies, in which operational costs and the stability of the power supply are optimised to provide a highly smooth but low-cost power supply service... Read More about A statistics-based genetic algorithm for quality improvements of power supplies.

Genetic algorithms with dynamic mutation rates and their industrial applications (2008)
Journal Article

This paper presents a method on how to estimate main effects of gene representation. This estimate can be used not only to understand the domination of genes in the representation but also to design the mutation rate in genetic algorithms (GAs). A ne... Read More about Genetic algorithms with dynamic mutation rates and their industrial applications.

UMTS base station location planning: A mathematical model and heuristic optimisation algorithms (2007)
Journal Article

Radio networks of universal mobile telecommunication system (UMTS) need accurate planning and optimisation, and many factors not seen in second generation (2G) networks must be considered. However, planning and optimisation of UMTS radio networks are... Read More about UMTS base station location planning: A mathematical model and heuristic optimisation algorithms.

Optimisation of WCDMA radio networks with consideration of link-level performance factors (2007)
Journal Article

Accuracy and the computational load are two important issues of Wideband Code-Division Multiple Access (WCDMA) network planning and optimisation. Link-level performance factors such as the impact of Soft Handover (SHO) and fast power control need to... Read More about Optimisation of WCDMA radio networks with consideration of link-level performance factors.

Solving large-scale uncapacitated facility location problems with evolutionary simulated annealing (2006)
Journal Article

Uncapacitated Facility Location (UFL) Problems are, in general, modelled as mixed integer programming problems, which are known as NP-hard problems. In recent years, a few publications have appeared on the metaheuristics for solving UFL problems, dis... Read More about Solving large-scale uncapacitated facility location problems with evolutionary simulated annealing.

An orthogonal array based genetic algorithm for developing neural network based process models of fluid dispensing (2006)
Journal Article

Fluid dispensing is a popular process in the semiconductor manufacturing industry, commonly being used in die-bonding as well as microchip encapsulation of electronic packaging. Modelling the fluid dispensing process is important to understanding the... Read More about An orthogonal array based genetic algorithm for developing neural network based process models of fluid dispensing.

Main effect fine-tuning of the mutation operator and the neighbourhood function for uncapacitated facility location problems (2006)
Journal Article

In both genetic algorithms (GAs) and simulated annealing (SA), solutions can be represented by gene representation. Mutation operator in GA and neighborhood function in SA are used to explore the solution space. They usually select genes for performi... Read More about Main effect fine-tuning of the mutation operator and the neighbourhood function for uncapacitated facility location problems.

Variable neighbourhood search for job shop scheduling problems (2006)
Journal Article

Variable Neighbourhood Search (VNS) is one of the most recent metaheuristics used for problem solving in which a systematic change of neighbourhood within a local search is carried out. In this paper, an investigation on implementing VNS for job shop... Read More about Variable neighbourhood search for job shop scheduling problems.

Dynamic job-shop scheduling using reinforcement learning agents (2000)
Journal Article

Static and dynamic scheduling methods have attracted a lot of attention in recent years. Among these, dynamic scheduling techniques handle scheduling problems where the scheduler does not possess detailed information about the jobs, which may arrive... Read More about Dynamic job-shop scheduling using reinforcement learning agents.

Neural network based experimental design method and an industrial application (1996)
Journal Article

It requires a great deal of expertise to satisfy customers under rapid technological changes in a highly competitive market. Quality should be taken into account not only in production lines but also during the design phase of the process. Especially... Read More about Neural network based experimental design method and an industrial application.