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Experimental results show that DSSSEA can be used to track the moving optimal solutions of dynamic function optimization problems efficiently.

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Such an optimization problem may has multiple optima and finding an efficient method to even get local optima is difficult [17]. Many solution methods are ...

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Scenario II: This scenario adopts the (static) F1 measure (as described in Eq.2, Sect.3) to take into consideration the performance characteristics of the ...

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How would you formulate the problem now? What is the solution? 2. Suppose again that there ... 8http://lpl.virtual-optima.com/lpl/Solver.jsp?name=/math06c 9 ...

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Experimental results show that DSSSEA can be used to track the moving optimal solutions of dynamic function optimization problems efficiently.

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Experimental results show that DSSSEA can be used to track the moving optimal solutions of dynamic function optimization problems efficiently.

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Experimental results show that DSSSEA can be used to track the moving optimal solutions of dynamic function optimization problems efficiently.

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Experimental results show that DSSSEA can be used to track the moving optimal solutions of dynamic function optimization problems efficiently.

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Experimental results show that DSSSEA can be used to track the moving optimal solutions of dynamic function optimization problems efficiently.

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Experimental results show that DSSSEA can be used to track the moving optimal solutions of dynamic function optimization problems efficiently.

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Experimental results show that DSSSEA can be used to track the moving optimal solutions of dynamic function optimization problems efficiently.

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Experimental results show that DSSSEA can be used to track the moving optimal solutions of dynamic function optimization problems efficiently.

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Experimental results show that DSSSEA can be used to track the moving optimal solutions of dynamic function optimization problems efficiently.

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Experimental results show that DSSSEA can be used to track the moving optimal solutions of dynamic function optimization problems efficiently.

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Experimental results show that DSSSEA can be used to track the moving optimal solutions of dynamic function optimization problems efficiently.

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Experimental results show that DSSSEA can be used to track the moving optimal solutions of dynamic function optimization problems efficiently.

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Experimental results show that DSSSEA can be used to track the moving optimal solutions of dynamic function optimization problems efficiently.

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Experimental results show that DSSSEA can be used to track the moving optimal solutions of dynamic function optimization problems efficiently.

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Experimental results show that DSSSEA can be used to track the moving optimal solutions of dynamic function optimization problems efficiently.

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Experimental results show that DSSSEA can be used to track the moving optimal solutions of dynamic function optimization problems efficiently.

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Experimental results show that DSSSEA can be used to track the moving optimal solutions of dynamic function optimization problems efficiently.

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Experimental results show that DSSSEA can be used to track the moving optimal solutions of dynamic function optimization problems efficiently.

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Experimental results show that DSSSEA can be used to track the moving optimal solutions of dynamic function optimization problems efficiently.

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Experimental results show that DSSSEA can be used to track the moving optimal solutions of dynamic function optimization problems efficiently.

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Experimental results show that DSSSEA can be used to track the moving optimal solutions of dynamic function optimization problems efficiently.

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Experimental results show that DSSSEA can be used to track the moving optimal solutions of dynamic function optimization problems efficiently.

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Experimental results show that DSSSEA can be used to track the moving optimal solutions of dynamic function optimization problems efficiently.

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Experimental results show that DSSSEA can be used to track the moving optimal solutions of dynamic function optimization problems efficiently.

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Experimental results show that DSSSEA can be used to track the moving optimal solutions of dynamic function optimization problems efficiently.

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