Abstract
The paper tackled one of the artificial intelligence algorithms which is Mosquito swarm algorithm as a nature inspired algorithms, to solve 0-1 knapsack an optimization problem through adaptation steps of a Mosquito swarm algorithm and the inspiration coming from the behavior of Mosquitoes, in addition to propose steps (update) for Chemical sensors, Heat sensors and location of Mosquito, to find an optimal solution in small search space and small computational requirements. A program is written in MATLAB 7.10. language to simulate this algorithm with 0-1 knapsack problem. The experimental results in this research showed effective approach, easy implementation of algorithm to find optimal solution.
Highlights
Recently in computer science, there is an increased interest in computational approaches that are inspired by the principles of nature and that can solve difficult problems
Physical and biological sciences try to find microscopic laws that extrapolate to the macroscopic realm, computer science is principally synthetic and is concerned with the construction of algorithms that may be inspired by physics or biology
Computing can be seen as a property of nature, by mimicking natural phenomena; it is possible to construct new intelligent algorithms for solving computationally difficult problems called Nature –inspired algorithms [3,4]
Summary
There is an increased interest in computational approaches that are inspired by the principles of nature and that can solve difficult problems. Computing can be seen as a property of nature, by mimicking natural phenomena; it is possible to construct new intelligent algorithms for solving computationally difficult problems called Nature –inspired algorithms [3,4]. They mimic different natural systems and processes using mathematical models and algorithms. The classical 0–1 Knapsack problem and its variants are used in many resource management applications such as cargo, loading, industrial production, menu planning, and resource allocation in multimedia servers [1]
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