Hybrid PSO-SA Type Algorithms for Multimodal Function Optimization and Reducing Energy Consumption in Embedded Systems

<table class="table-group" width="800px"><tr class="fig-image" id="a"><td><img alt="138078.fig.002a" src="https://static.hindawi.com/articles/acisc/volume-2011/138078/figures/138078.fig.002a.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(a) </b>Rastrigin</td></tr></table></td></tr><tr class="fig-image" id="b"><td><img alt="138078.fig.002b" src="https://static.hindawi.com/articles/acisc/volume-2011/138078/figures/138078.fig.002b.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(b) </b>Sphere</td></tr></table></td></tr><tr class="fig-image" id="c"><td><img alt="138078.fig.002c" src="https://static.hindawi.com/articles/acisc/volume-2011/138078/figures/138078.fig.002c.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(c) </b>Griewank</td></tr></table></td></tr><tr class="fig-image" id="d"><td><img alt="138078.fig.002d" src="https://static.hindawi.com/articles/acisc/volume-2011/138078/figures/138078.fig.002d.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(d) </b>Rosenbrock</td></tr></table></td></tr><tr class="fig-image" id="e"><td><img alt="138078.fig.002e" src="https://static.hindawi.com/articles/acisc/volume-2011/138078/figures/138078.fig.002e.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(e) </b>Schwefel</td></tr></table></td></tr><tr class="fig-image" id="f"><td><img alt="138078.fig.002f" src="https://static.hindawi.com/articles/acisc/volume-2011/138078/figures/138078.fig.002f.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(f) </b>Ackley</td></tr></table></td></tr><tr class="fig-image" id="g"><td><img alt="138078.fig.002g" src="https://static.hindawi.com/articles/acisc/volume-2011/138078/figures/138078.fig.002g.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(g) </b>Michalewicz</td></tr></table></td></tr><tr class="fig-image" id="h"><td><img alt="138078.fig.002h" src="https://static.hindawi.com/articles/acisc/volume-2011/138078/figures/138078.fig.002h.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(h) </b>Himmelblau</td></tr></table></td></tr><tr class="fig-image" id="i"><td><img alt="138078.fig.002i" src="https://static.hindawi.com/articles/acisc/volume-2011/138078/figures/138078.fig.002i.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(i) </b>Shubert</td></tr></table></td></tr></table>

<table>3D mathematical benchmark functions.</table>

Applied Computational Intelligence and Soft Computing

fig2

Figure 2

Figure 2: Hybrid PSO-SA Type Algorithms for Multimodal Function Optimization and Reducing Energy Consumption in Embedded Systems 