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Found 5 papers, 0 papers with code
A Block-Coordinate Descent EMO Algorithm: Theoretical and Empirical Analysis
We consider whether conditions exist under which block-coordinate descent is asymptotically efficient in evolutionary multi-objective optimization, addressing an open problem.
Cooperative Multi-Agent Search on Endogenously-Changing Fitness Landscapes
We use a multi-agent system to model how agents (representing firms) may collaborate and adapt in a business 'landscape' where some, more influential, firms are given the power to shape the landscape of other firms.
Heterogeneous Objectives: State-of-the-Art and Future Research
Multiobjective optimization problems with heterogeneous objectives are defined as those that possess significantly different types of objective function components (not just incommensurable in units or scale).
Rapid Skill Capture in a First-Person Shooter
Various aspects of computer game design, including adaptive elements of game levels, characteristics of 'bot' behavior, and player matching in multiplayer games, would ideally be sensitive to a player's skill level.
Population fluctuation promotes cooperation in networks
We consider the problem of explaining the emergence and evolution of cooperation in dynamic network-structured populations.
