Browsing Heuristic Optimization by Title
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A modeling framework for optimizing the flowlevel scheduling with timevarying channels
(20101231)We introduce a comprehensive modeling framework for the problem of scheduling a finite number of finitelength jobs where the available service rate is timevarying. The main motivation comes from wireless data networks ... 
A nearlyoptimal index rule for scheduling of users with abandonment
(20111231)We analyze a comprehensive model for multiclass job scheduling accounting for user abandonment, with the objective of minimizing the total discounted or timeaverage sum of linear holding costs and abandonment penalties. ... 
An ACObased Hyperheuristic for Sequencing Manyobjective Evolutionary Algorithms that Consider Different Ways to Incorporate the DM's Preferences
(20230201)Manyobjective optimization is an area of interest common to researchers, professionals, and practitioners because of its realworld implications. Preference incorporation into MultiObjective Evolutionary Algorithms (MOEAs) ... 
AdaSwarm: Augmenting GradientBased Optimizers in Deep Learning with Swarm Intelligence
(20220401)This paper introduces AdaSwarm, a novel gradientfree optimizer which has similar or even better performance than the Adam optimizer adopted in neural networks. In order to support our proposed AdaSwarm, a novel Exponentially ... 
An Analysis of CoalitionCompetition Pricing Strategies for MultiOperator Mobile Traffic Offloading using Biobjective Heuristics
(2017)In a competitive market relationships between telecommuni cations operators serving simultaneously over a certain geographical area are diverse and motivated by very different business strategies and goals. Such relationships ... 
Asymptotically optimal parallel resource assignment with interference
(20101231)Motivated by scheduling in cellular wireless networks and resource allocation in computer systems, we study a service facility with two classes of users having heterogeneous service requirement distributions. The aggregate ... 
ATMFCGA: An Adaptive Transferguided Multifactorial Cellular Genetic Algorithm for Evolutionary Multitasking
(20210901)Transfer Optimization is an incipient research area dedicated to solving multiple optimization tasks simultaneously. Among the different approaches that can address this problem effectively, Evolutionary Multitasking resorts ... 
CCN interest forwarding strategy as MultiArmed Bandit model with delays
(20121231)We consider Content Centric Network (CCN) interest forwarding problem as a MultiArmed Bandit (MAB) problem with delays. We investigate the transient behaviour of the εgreedy, tuned εgreedy and Upper Confidence Bound ... 
Closed queueing networks under congestion: Nonbottleneck independence and bottleneck convergence
(20131231)We analyze the behavior of closed multiclass productform queueing networks when the number of customers grows to infinity and remains proportionate on each route (or class). First, we focus on the stationary behavior and ... 
COARSEEMOA: An indicatorbased evolutionary algorithm for solving equality constrained multiobjective optimization problems
(20211201)Many realworld applications involve dealing with several conflicting objectives which need to be optimized simultaneously. Moreover, these problems may require the consideration of limitations that restrict their decision ... 
Community Detection in Networks using Bioinspired Optimization: Latest Developments, New Results and Perspectives with a Selection of Recent MetaHeuristics
(2019)Detecting groups within a set of interconnected nodes is a widely addressed prob lem that can model a diversity of applications. Unfortunately, detecting the opti mal partition of a network is a computationally demanding ... 
Comparative study of pheromone control heuristics in ACO algorithms for solving RCPSP problems
(201711)Constraint Satisfaction Problems (CSP) belong to a kind of traditional NPhard problems with a high impact on both research and industrial domains. The goal of these problems is to find a feasible assignment for a group ... 
Competition yields efficiency in load balancing games
(20111231)We study a nonatomic congestion game with N parallel links, with each link under the control of a profit maximizing provider. Within this 'load balancing game', each provider has the freedom to set a price, or toll, for ... 
Congestion control of TCP flows in Internet routers by means of index policy
(20131231)In this paper we address the problem of fast and fair transmission of flows in a router, which is a fundamental issue in networks like the Internet. We model the interaction between a source using the Transmission Control ... 
A convergence and diversity guided leader selection strategy for manyobjective particle swarm optimization
(20221001)Recently, particle swarm optimizer (PSO) is extended to solve manyobjective optimization problems (MaOPs) and becomes a hot research topic in the field of evolutionary computation. Particularly, the leader particle selection ... 
Convergence of trajectories and optimal buffer sizing for AIMD congestion control
(20101231)We study the interaction between the AIMD (Additive Increase Multiplicative Decrease) multisocket congestion control and a bottleneck router with Drop Tail buffer. We consider the problem in the framework of deterministic ... 
Convergence of trajectories and optimal buffer sizing for MIMD congestion control
(20101231)We study the interaction between the MIMD (Multiplicative Increase Multiplicative Decrease) congestion control and a bottleneck router with Drop Tail buffer. We consider the problem in the framework of deterministic hybrid ... 
Costefficient deployment of multihop wireless networks over disaster areas using multiobjective metaheuristics
(201707)Nowadays there is a global concern with the growing frequency and magnitude of natural disasters, many of them associated with climate change at a global scale. When tackled during a stringent economic era, the allocation ... 
Costefficient Selective Network Caching in LargeArea Vehicular Networks using Multiobjective Heuristics
(2017)In the last decade the interest around network caching tech niques has augmented notably for alleviating the evergrowing demand of resources by end users in mobile networks. This gained momentum stems from the fact that ... 
CURIE: a cellular automaton for concept drift detection
(20211101)Data stream mining extracts information from large quantities of data flowing fast and continuously (data streams). They are usually affected by changes in the data distribution, giving rise to a phenomenon referred to as ...