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Artificial bee colony (ABC) algorithm is a novel optimizer which simulates bees' foraging behavior in solution space for finding global optimal solution with reasonable criteria. In this paper, an improved artificial bee colony is proposed to solve multi-objective (MO) problems. In order to guide bees toward to Pareto optimal solutions, bees' moving behavior is modified to make ABC capable for solving...
Artificial bee colony (ABC) is a population-based optimizer. It simulates bees' forage behavior for searching better foods source (solutions) in solution space. In order to easier for finding better foods more efficient, in this paper, the efficient exploration strategies are proposed. Unlike original ABC, the scout bee will only be activated for a while. For proposed method, the scout bee will be...
In this paper, the robust mutation strategy for differential evolution (DE) is proposed for Enhancing its solution searching abilities. Also, the elitist crossover is involved to produce potential vectors. In the experiments, fifteen CEC 2005 test functions, which include uni-modal and multi-modal functions, are adopted for testing the proposed method and compare its performance with three DE variants...
In this paper, an adaptive population artificial bee colony (APABC) is proposed. The population size of APABC will be dynamically increased or decreased by population manager according to current solution searching status. Thus, the population size of APABC is not fix but variable. It can enhance bees' searching ability and increase population utilization. In experiments, fifteen test functions of...
Ant colony algorithm is a new algorithm of heuristic bionic calculation. Now, it has been widely applied in many fields of combinatorial optimization. This paper elaborates the basic principle and mathematical model of typical ant colony algorithm for solving the traveling salesman problem, and analyzes impact of the optimal parameters to the performance of algorithm. Based on its shortages, an improved...
The cache utilization seriously impacts on program performance, whereas the cache behavior is transparent to developers so that they cannot get opportunity to optimize their programs by reducing cache miss rates. This paper introduces a useful instrumentation tool, Cachebit, which is built with Crossbit - a dynamic binary translation (DBT) framework with intermediate instruction layer. Cachebit simulates...
In traditional dynamic binary translation (DBT) systems, poor profile information at runtime limits the manner of optimization. Combining dynamic binary translation with static analysis brings an opportunity to improve the runtime performance. Once the source image has been executed, the profile information and target code will be saved, which are available at next runs. Moreover, optimizations will...
The absence of an outer membrane in Bacillus subtilis can simplify the protein secretion pathways and allow the organism to secrete high levels of extracellular proteins. Of the three known secretory routes, Sec-SRP pathway can direct the majority of secretory proteins into the growth medium. Alternatively, a small number of exoproteins with specific functions are secreted via Tat pathway or ABC transporters...
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