Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
A tutorial on simulation optimization
WSC '92 Proceedings of the 24th conference on Winter simulation
Evolutionary algorithms for constrained engineering problems
Computers and Industrial Engineering
Simulation optimization methodologies
Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future - Volume 1
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Decision support system for fisheries management
WSC '05 Proceedings of the 37th conference on Winter simulation
Integrated assessment model of society-biosphere-climate-economy-energy system
Environmental Modelling & Software
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The sea scallop resource of Georges Bank supports one of the largest commercial fisheries in the United States. The objective of this research was to develop a technique to examine different management strategies for the sea scallop resource of Georges Bank and compare these strategies to the optimal. A simulation model followed the sea scallop population dynamics using information from recent photographic surveys and studies on spatial and temporal life history parameters, such as growth, natural mortality, spawning, and fishing activities. Stochastic simulation technique was used to describe the influence of the highly variable marine environment. Genetic Algorithm technique was used to develop harvest strategy in the area for optimal utilization by maximizing long term fishing yield. Simulation and Genetic Algorithm are combined to solve the optimization problem. Simulation returns performance measures for a given policy and Genetic Algorithm provides the search process to obtain the optimum policy.