The MaxSolve algorithm for coevolution
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Understanding cooperative co-evolutionary dynamics via simple fitness landscapes
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
On identifying global optima in cooperative coevolution
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Learning team behaviors with adaptive heterogeneity
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Cooperative Multi-Agent Learning: The State of the Art
Autonomous Agents and Multi-Agent Systems
The parallel Nash Memory for asymmetric games
Proceedings of the 8th annual conference on Genetic and evolutionary computation
Archive-based cooperative coevolutionary algorithms
Proceedings of the 8th annual conference on Genetic and evolutionary computation
The effects of interaction frequency on the optimization performance of cooperative coevolution
Proceedings of the 8th annual conference on Genetic and evolutionary computation
Heterogeneous cooperative coevolution: strategies of integration between GP and GA
Proceedings of the 8th annual conference on Genetic and evolutionary computation
Robustness in cooperative coevolution
Proceedings of the 8th annual conference on Genetic and evolutionary computation
Selecting informative actions improves cooperative multiagent learning
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
A Monotonic Archive for Pareto-Coevolution
Evolutionary Computation
Proceedings of the 9th annual conference on Genetic and evolutionary computation
Biologically-inspired Complex Adaptive Systems approaches to Network Intrusion Detection
Information Security Tech. Report
Theoretical advantages of lenient Q-learners: an evolutionary game theoretic perspective
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
Generative encoding for multiagent learning
Proceedings of the 10th annual conference on Genetic and evolutionary computation
Theoretical Advantages of Lenient Learners: An Evolutionary Game Theoretic Perspective
The Journal of Machine Learning Research
Accelerated Neural Evolution through Cooperatively Coevolved Synapses
The Journal of Machine Learning Research
An interactive co-evolutionary CAD system for garment pattern design
Computer-Aided Design
Unbiased coevolutionary solution concepts
Proceedings of the tenth ACM SIGEVO workshop on Foundations of genetic algorithms
Cooperative coevolution and univariate estimation of distribution algorithms
Proceedings of the tenth ACM SIGEVO workshop on Foundations of genetic algorithms
Proceedings of the 2009 ACM symposium on Applied Computing
Computer Networks: The International Journal of Computer and Telecommunications Networking
An immune co-evolutionary algorithm based approach for optimization control of gas turbine
Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation
Free lunches in pareto coevolution
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
Evolutionary computation and structural design: A survey of the state-of-the-art
Computers and Structures
PEEC: evolving efficient connections using Pareto optimality
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Investigating collaboration methods of random immigrant scheme in cooperative coevolution
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
The cooperative royal road: avoiding hitchhiking
EA'07 Proceedings of the Evolution artificielle, 8th international conference on Artificial evolution
Particle swarm optimisation based Diophantine equation solver
International Journal of Bio-Inspired Computation
IEEE Transactions on Evolutionary Computation
A dual-system variable-grain cooperative coevolutionary algorithm: satellite-module layout design
IEEE Transactions on Evolutionary Computation
A hierarchical cooperative evolutionary algorithm
Proceedings of the 12th annual conference on Genetic and evolutionary computation
Color image segmentation using swarm based optimisation methods
ICICA'10 Proceedings of the First international conference on Information computing and applications
IFS-CoCo in the landscape contest: description and results
ICPR'10 Proceedings of the 20th International conference on Recognizing patterns in signals, speech, images, and videos
Theoretical convergence guarantees for cooperative coevolutionary algorithms
Evolutionary Computation
Multi-agent role allocation: issues, approaches, and multiple perspectives
Autonomous Agents and Multi-Agent Systems
Interactive genetic algorithms with individual's fuzzy fitness
Computers in Human Behavior
Parallel learning to rank for information retrieval
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
A framework of oligopolistic market simulation with coevolutionary computation
ICNC'06 Proceedings of the Second international conference on Advances in Natural Computation - Volume Part I
Representative selection for cooperative co-evolutionary genetic algorithms
SEAL'06 Proceedings of the 6th international conference on Simulated Evolution And Learning
Multi-population cooperative particle swarm optimization
ECAL'05 Proceedings of the 8th European conference on Advances in Artificial Life
Dynamic decision making for candidate access point selection
AN'06 Proceedings of the First IFIP TC6 international conference on Autonomic Networking
Towards embedding evolution into a multi-agent environment
PRIMA'06 Proceedings of the 9th Pacific Rim international conference on Agent Computing and Multi-Agent Systems
FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part I
An overview of cooperative and competitive multiagent learning
LAMAS'05 Proceedings of the First international conference on Learning and Adaption in Multi-Agent Systems
Restoration of epipolar line based on multi-population cooperative particle swarm optimization
ICIC'11 Proceedings of the 7th international conference on Intelligent Computing: bio-inspired computing and applications
Initial results from co-operative co-evolution for automated platformer design
EvoApplications'12 Proceedings of the 2012t European conference on Applications of Evolutionary Computation
The Gestalt heuristic: emerging abstraction to improve combinatorial search
Natural Computing: an international journal
Evolving team behaviors with specialization
Genetic Programming and Evolvable Machines
Semantic bias in program coevolution
EuroGP'13 Proceedings of the 16th European conference on Genetic Programming
Sustainable cooperative coevolution with a multi-armed bandit
Proceedings of the 15th annual conference on Genetic and evolutionary computation
A survey on optimization metaheuristics
Information Sciences: an International Journal
Dynamic bee colony algorithm based on multi-species co-evolution
Applied Intelligence
A review of concurrent optimisation methods
International Journal of Bio-Inspired Computation
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Coevolutionary algorithms behave in very complicated, often quite counterintuitive ways. Researchers and practitioners have yet to understand why this might be the case, how to change their intuition by understanding the algorithms better, and what to do about the differences. Unfortunately, there is little existing theory available to researchers to help address these issues. Further, little empirical analysis has been done at a component level to help understand intrinsic differences and similarities between coevolutionary algorithms and more traditional evolutionary algorithms. Finally, attempts to categorize coevolution and coevolutionary behaviors remain vague and poorly defined at best. The community needs directed investigations to help practitioners understand what particular coevolutionary algorithms are good at, what they are not, and why. This dissertation improves our understanding of coevolution by posing and answering the question: “Are cooperative coevolutionary algorithms (CCEAs) appropriate for static optimization tasks?” Two forms of this question are “How long do they take to reach the global optimum?” and “How likely are they to get there?” The first form of the question is addressed by analyzing their performance as optimizers, both theoretically and empirically. This analysis includes investigations into the effects of coevolution-specific parameters on optimization performance in the context of particular properties of potential problem domains. The second leg of this dissertation considers the second form of the question by looking at the dynamical properties of these algorithms, analyzing their limiting behaviors again from theoretical and empirical points of view. Two common cooperative coevolutionary pathologies are explored and illustrated, in both formal and practical settings. The result is a better understanding of, and appreciation for, the fact that CCEAs are not generally appropriate for the task of static, single-objective optimization. In the end a new view of the CCEA is offered that includes analysis-guided suggestions for how a traditional CCEA might be modified to be better suited for optimization tasks, or might be applied to more appropriate tasks, given the nature of its dynamics.