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20132026
most citedFlower Pollination Algorithm: A Novel Approach for Multiobjective Optimization

626 citations · 1.2k across the 10 of their papers we have counts for

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Showing 2014Show all

5 papers · 1 filter

math.OC2014★ 626 cited

Flower Pollination Algorithm: A Novel Approach for Multiobjective Optimization

Xin-She Yang, M. Karamanoglu, X. S. He

Multiobjective design optimization problems require multiobjective optimization techniques to solve, and it is often very challenging to obtain high-quality Pareto fronts accuratel…

math.OC2014★ 18 cited

Applications and Analysis of Bio-Inspired Eagle Strategy for Engineering Optimization

Xin-She Yang, M. Karamanoglu, T. O. Ting +1

All swarm-intelligence-based optimization algorithms use some stochastic components to increase the diversity of solutions during the search process. Such randomization is often re…

cs.NE2014★ 367 cited

Multi-objective Flower Algorithm for Optimization

Xin-She Yang, M. Karamanoglu, Xingshi He

Flower pollination algorithm is a new nature-inspired algorithm, based on the characteristics of flowering plants. In this paper, we extend this flower algorithm to solve multi-obj…

math.OC2014★ 1 cited

Mathematical Modelling and Parameter Optimization of Pulsating Heat Pipes

Xin-She Yang, Mehmet Karamanoglu, Tao Luan +1

Proper heat transfer management is important to key electronic components in microelectronic applications. Pulsating heat pipes (PHP) can be an efficient solution to such heat tran…

math.OC2014★ 14 cited

True Global Optimality of the Pressure Vessel Design Problem: A Benchmark for Bio-Inspired Optimisation Algorithms

Xin-She Yang, Christian Huyck, Mehmet Karamanoglu +1

The pressure vessel design problem is a well-known design benchmark for validating bio-inspired optimization algorithms. However, its global optimality is not clear and there has b…