All Outputs (105)
Selecting Display Products for Furniture Stores Using Fuzzy Multi-criteria Decision Making Techniques (2018)
Presentation / Conference Contribution
© 2018, Springer Nature Switzerland AG. Efficient marketing in which the right products are supplied to the right consumer plays a crucial role for a profitable business in the age of highly accessible and competitive global market. This fact enforce... Read More about Selecting Display Products for Furniture Stores Using Fuzzy Multi-criteria Decision Making Techniques.
Diversifying search in bee algorithms for numerical optimisation (2018)
Presentation / Conference Contribution
© Springer Nature Switzerland AG 2018. Swarm intelligence offers useful instruments for developing collective behaviours to solve complex, ill-structured and large-scale problems. Efficiency in collective behaviours depends on how to harmonise the in... Read More about Diversifying search in bee algorithms for numerical optimisation.
Building collaboration in multi-agent systems using reinforcement learning (2018)
Presentation / Conference Contribution
© Springer Nature Switzerland AG 2018. This paper presents a proof-of concept study for demonstrating the viability of building collaboration among multiple agents through standard Q learning algorithm embedded in particle swarm optimisation. Collabo... Read More about Building collaboration in multi-agent systems using reinforcement learning.
A parametric study for congestion control in queuing networks (2017)
Presentation / Conference Contribution
Congestion avoidance mechanisms are used to prevent the saturation of the bottleneck under mean-field domain where large numbers of TCP connections interact with one another. It is clear that selections of parameters play an important role on the per... Read More about A parametric study for congestion control in queuing networks.
Cognitive access point to handle delay sensitive traffic in WLANs (2015)
Presentation / Conference Contribution
© 2015 IEEE. Over the last few years, the widespread use of wireless local area networks (WLANs) continues to gain more and more impetus. Due to the increase in variety of multimedia applications such as voice, video and gaming traffic, it is paramou... Read More about Cognitive access point to handle delay sensitive traffic in WLANs.
Creep modelling of polypropylenes using artificial neural networks trained with Bee algorithms (2015)
Journal Article
© 2015 Elsevier Ltd. All rights reserved. Polymeric materials, being capable of high mouldability, usability of long lifetime up to 50 years and availability at low cost properties compared to metallic materials, are in demand but finite element-base... Read More about Creep modelling of polypropylenes using artificial neural networks trained with Bee algorithms.
Stochastic model of TCP and UDP traffic in IEEE 802.11b/g (2014)
Presentation / Conference Contribution
© 2014 IEEE. IEEE 802.11 networks have been widely explored since last decade and IEEE802.11g was proposed to increase the data rate of wireless networks up to 54Mbps which ensure backward capability with IEEE802.11b. The main goal of increasing the... Read More about Stochastic model of TCP and UDP traffic in IEEE 802.11b/g.
A memory-integrated artificial bee algorithm for 1-D bin packing problems (2014)
Presentation / Conference Contribution
Swarm intelligence algorithms gain more attention with ever growing computing capabilities since they can provide diverse and useful solutions for ill-structured and complex problems. Artificial Bee Colony (ABC) algorithm is a recently developed prom... Read More about A memory-integrated artificial bee algorithm for 1-D bin packing problems.
Adaptive proportional fair parameterization based LTE scheduling using continuous actor-critic reinforcement learning (2014)
Presentation / Conference Contribution
© 2014 IEEE. Maintaining a desired trade-off performance between system throughput maximization and user fairness satisfaction constitutes a problem that is still far from being solved. In LTE systems, different tradeoff levels can be obtained by usi... Read More about Adaptive proportional fair parameterization based LTE scheduling using continuous actor-critic reinforcement learning.
Scheduling policies based on dynamic throughput and fairness tradeoff control in LTE-A networks (2014)
Presentation / Conference Contribution
© 2014 IEEE. In LTE-A cellular networks there is a fundamental trade-off between the cell throughput and fairness levels for preselected users which are sharing the same amount of resources at one transmission time interval (TTI). The static paramete... Read More about Scheduling policies based on dynamic throughput and fairness tradeoff control in LTE-A networks.
ITU-R and WINNER II path loss modeling of femtocells (2013)
Presentation / Conference Contribution
As cellular network users continue to grow; there is a need for in-creased user capacity, higher throughput and improved system performance. An important issue affecting cellular networks is to make services available to re-gions of bad or no recepti... Read More about ITU-R and WINNER II path loss modeling of femtocells.
Agentification of individuals: A multi-agent approach to metaheuristics (2013)
Journal Article
Refining scheduling policies with genetic algorithms (2013)
Presentation / Conference Contribution
Genetic Algorithms (GAs) are popular approaches in solving various complex real-world problems. However, it is required that a careful attention is to be paid to the contextual knowledge as well as the implementation of genetic material and operators... Read More about Refining scheduling policies with genetic algorithms.
A novel learning-based spectrum sensing technique for cognitive radio networks (2013)
Presentation / Conference Contribution
Spectrum sensing is one of the most challenging issues in Cognitive Radio (CR) networks. It should be performed efficiently to reduce number of false alarms and missed detections. This paper presents a novel approach, which employs collective intelli... Read More about A novel learning-based spectrum sensing technique for cognitive radio networks.
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.
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.
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.