2011Journal of Applied MathematicsOpen access

A Heuristic Algorithm for Resource Allocation/Reallocation Problem

S. Raja Balachandar, K. Kannan

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Abstract

This paper presents a1-optheuristic approach to solve resource allocation/reallocation problem which is known as 0/1 multichoice multidimensional knapsack problem (MMKP). The intercept matrix of the constraints is employed to find optimal or near‐optimal solution of the MMKP. This heuristic approach is tested for 33 benchmark problems taken from OR library of sizes upto 7000, and the results have been compared with optimum solutions. Computational complexity is proved to beO(klmn2) of solving heuristically MMKP using this approach. The performance of our heuristic is compared with the best state‐of‐art heuristic algorithms with respect to the quality of the solutions found. The encouraging results especially for relatively large‐size test problems indicate that this heuristic approach can successfully be used for finding good solutions for highly constrained NP‐hard problems.

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What this paper is about

This paper presents a1-optheuristic approach to solve resource allocation/reallocation problem which is known as 0/1 multichoice multidimensional knapsack problem (MMKP). The intercept matrix of the constraints is employed to find optimal or near‐optimal solution of the MMKP. This heuristic approach is tested for 33 benchmark problems taken from OR library of sizes upto 7000, and the results have been compared with optimum solutions. Computational complexity is proved to beO(klmn2) of solving heuristically MMKP using this approach. The performance of our heuristic is compared with the best state‐of‐art heuristic algorithms with respect to the quality of the solutions found. The encouraging results especially for relatively large‐size test problems indicate that this heuristic approach can successfully be used for finding good solutions for highly constrained NP‐hard problems.

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Available abstract

This paper presents a1-optheuristic approach to solve resource allocation/reallocation problem which is known as 0/1 multichoice multidimensional knapsack problem (MMKP). The intercept matrix of the constraints is employed to find optimal or near‐optimal solution of the MMKP. This heuristic approach is tested for 33 benchmark problems taken from OR library of sizes upto 7000, and the results have been compared with optimum solutions. Computational complexity is proved to beO(klmn2) of solving heuristically MMKP using this approach. The performance of our heuristic is compared with the best state‐of‐art heuristic algorithms with respect to the quality of the solutions found. The encouraging results especially for relatively large‐size test problems indicate that this heuristic approach can successfully be used for finding good solutions for highly constrained NP‐hard problems.

Key concepts: Knapsack problem, Heuristic, Benchmark (surveying), Mathematical optimization, Continuous knapsack problem, Null-move heuristic, Consistent heuristic, Computer science

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