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`@@ -113,12 +113,12 @@ DA.solve(plot=True)`
`113`	`113`
`114`	`114`	`*RESULTS*`
`115`	`115`
`116`		`-From the console we can deduce the optimal result (see Fig. 4) . The global optimal has a fitness of 25. So Duelist Algorithm performs well.`
	`116`	`+From the console we can deduce the optimal result (see Fig. 4) . The global optimal has a fitness of 25, while duelist algorithm found 25.01. So Duelist Algorithm performs well.`
`117`	`117`	`![result1](images/results.PNG)`
`118`	`118`	`Fig 4. Optimal Results in Console`
`119`	`119`
`120`	`120`	`We can see that the algorithm quickly converges to the optimal point (see Fig. 5) as reported by the original article.`
`121`		`-![result2](images/results2.PNG)`
	`121`	`+![result2](images/results2.png)`
`122`	`122`
`123`	`123`
`124`	`124`	`For more examples refer to the python scripts in "examples" folder. [https://github.com/tsyet12/Duelist-Algorithm-Python/tree/master/examples]`

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