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The new mutation operator is based on the four kinds of mutation operation in PGA, which eliminates the mutation probability.
Fig. 3 Example of a mutation operation in GP.
The quest to improve the mutation operation in EP algorithms has led to different versions of the EP algorithms.
To solve this problem, this paper proposes a solution of two-stage ant colony optimization (TACO) and adds a mutation operation in the second-stage ACO.
b) Mutation operation In DE, there are various mutation schemes to create mutant vectors (V_{i}^{G} = left (V_{i,1}^{G},ldots,V_{i,D}^{G}right)) for each individual of population at each generation G. (X_{i}^{G}) is target vector in the current population, D is vector dimension number.
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To enrich diversity of particles, crossing and mutation operations in genetic algorithm have been introduced into qualified particles, which avoids local optimal convergence and increases the success rate of searching the optimal solution.
Both GVQ and GSAVQ use the linear scaling technique during the calculation of objective functions and use special crossover and mutation operations in order to obtain better codebooks in much shorter CPU time.
The major novelties in this paper are the simultaneous consideration of priority for loading more profitable cargoes and cargo stability in heuristic and innovatively designed crossover and mutation operations in GA to suit the profit optimization.
The procedure of the heuristic mutation operation, shown in Fig. 5, is taken as follows: Open image in new window Fig. 5 The heuristic mutation operator Step 1: Pick up three genes in a parent at random.
In ITS algorithm, mutation operation, a main operator used in genetic algorithm, is introduced to weaken the dependence of global search ability on tabu length.
Equations (3) and (4) are, respectively, the mutation operation and crossover operation in DE.
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