Genetic algorithms + data structures = evolution programs (3rd ed.)
Genetic algorithms + data structures = evolution programs (3rd ed.)
Niching methods for genetic algorithms
Niching methods for genetic algorithms
Exploring A Two-market Genetic Algorithm
GECCO '02 Proceedings of the Genetic and Evolutionary Computation Conference
Mission planning for joint suppression of enemy air defenses using a genetic algorithm
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
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Effects based operations (EBO) is a concept based on the premise that a desired strategic outcome can be achieved through synergistic, multiplicative, and cumulative application of the full range of military and nonmilitary capabilities. Such synergism requires synchronizing a large set of operations in order to achieve a set of effects. The synchronizer develops a set of alternative plans by solving a multi-objective optimization problem subject to several constraints. The EBO synchronization problem is also dynamic since planning is a continuous activity in a dynamically changing environment. In this paper, we describe the operational concept for EBO synchronization, the requirements for algorithms to perform synchronization, and some algorithmic steps toward constructing a synchronizer.