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An incremental genetic algorithm approach to multiprocessor scheduling
TLDR
A genetic algorithm approach to the problem of task scheduling for multiprocessor systems that requires minimal problem specific information and no problem specific operators or repair mechanisms and is able to automatically adapt to changing targets.
View on IEEE
Sensor Network Optimization Using a Genetic Algorithm
TLDR
By clustering a sensor network into a number of independent clusters using a GA, this approach can greatly minimize the total communication distance, thus prolonging the network lifetime and solving the shortest distance optimization problem.
The Current State of Normative Agent-Based Systems
TLDR
The intent of this paper is to introduce new researchers to the ideas that underlie normative computing and survey the existing state of the art, as well as provide direction for future research in normative multiagent computing.
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Evolving control for distributed micro air vehicles
TLDR
This work has developed a system that learn rule sets for controlling the individual MAVs in a distributed surveillance team and a genetic algorithm is used to learn the MAV rule sets.
View on IEEE
Decision tree classifier for network intrusion detection with GA-based feature selection
TLDR
A genetic algorithm is used to select a subset of input features for decision tree classifiers, with a goal of increasing the detection rate and decreasing the false alarm rate in network intrusion detection.
View on ACM
Multi-agent role allocation: issues, approaches, and multiple perspectives
  • A. CampbellA. Wu
  • Computer Science
    Autonomous Agents and Multi-Agent Systems
  • 1 March 2011
TLDR
This article compares computational models of the role allocation problem, presents the notion of explicitly versus implicitly defined roles, gives a survey of the methods used to approach role allocation problems, and concludes with a list of open research questions related to roles in multi-agent systems.
View on Springer
On the Impact of Variation on Self-Organizing Systems
TLDR
Results indicate that variation in the behaviors of agents can lead to increased stability and more effective self-organization in cooperative multi-agent systems.
View on IEEE
The Proportional Genetic Algorithm: Gene Expression in a Genetic Algorithm
TLDR
The motivations for developing this representation method are described, a detailed description of a PGA is provided along with discussion of its benefits and drawbacks and conclusions and future work based on these preliminary studies are discussed.
View on Springer
A Genetic Algorithm Approach to Focused Software Usage Testing
TLDR
This paper presents a Genetic Algorithm (GA) approach to focused software usage testing that supports increased test automation and provides increased evidence to support reasoning about the overall quality of the software.
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Active event correlation in Bro IDS to detect multi-stage attacks
TLDR
A novel approach, active event correlation (AEC), which collects and correlates suspicious network events inside a network intrusion detection system (NIDS) and infers the possibility of attacks in the context of security policies and blocks attacks before they are completed.
View on IEEE
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