21 research outputs found
A novel technology for minimizing the synthesis time of nanostructured powders in planetary mills
Full text linkBasic and Hybrid Imperialist Competitive Algorithms for Solving the Non-attacking and Non-dominating n-Queens Problems
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A hybrid imperialist competitive algorithm for the flexible job shop problem
No full textFlexible job shop scheduling problem (FJSP) is one of the hardest combinatorial optimization problems known to be NP-hard. This paper proposes a novel hybrid imperialist competitive algorithm with simulated annealing (HICASA) for solving the FJSP. HICASA explores the search space by using imperial competitive algorithm (ICA) and use a simulated annealing (SA) algorithm for exploitation in the search space. In order to obtain reliable results from HICASA algorithm, a robust parameter design is applied. HICASA is compared with the widely-used genetic algorithm (GA) and the relatively new imperialist competitive algorithm (ICA). Experimental results suggest that HICASA algorithm is superior to GA and ICA on the FJSP
Multi-objective imperialistic competitive algorithm with multiple non-dominated sets for the solution of global optimization problems
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Prediction of environmental indicators in land leveling using artificial intelligence techniques
No full textMulti-Objective Vendor Selection Problem of Supply Chain Management Under Fuzzy Environment
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