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Fig 1.

Seal’s movement when leaving the lair (urgent state).

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Fig 2.

Seal inside a multi-chambered lair during a normal state, designed by Robert Barnes, UNEP/GRID-Arendal [68].

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Fig 3.

A model of Seal Search during urgent state (a), and normal state (b).

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Fig 4.

The Ringed Seal Search algorithm.

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Fig 5.

Data flow in the RSS algorithm.

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Table 1.

List of benchmark test functions.

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Fig 6.

F5 function in 2D for m = 10, n = 5.

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Fig 7.

Searching for a new solutions by using Ringed Seal Search, final achieved solutions are highlighted with a diamond.

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Table 2.

AB, MB and SD results using uni-Objective functions.

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Table 3.

Var and SQ results using uni-Objective functions.

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Table 4.

AB, MB and SD results using multi-objective functions.

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Table 5.

Var and SQ results using multi-objective functions.

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Fig 8.

Average Best convergence of F9 test function using RSS (a) and CS (b).

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Fig 9.

Average Best convergence of F9 test function using PSO (a) and GA (b).

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Fig 10.

AB convergence of CS, RSS, PSO and GA for minimization of (a) F1 and (b) F2.

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Fig 11.

AB convergence of CS, RSS, PSO and GA for minimization of (a) F3 and (b) F4.

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Fig 12.

AB convergence of CS, RSS, PSO and GA for minimization of (a) F5 and (b) F6.

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Fig 13.

AB convergence of CS, RSS, PSO and GA for minimization of (a) F7 and (b) F8.

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Fig 14.

AB convergence of CS, RSS, PSO and GA for minimization of (a) F9 and (b) F10.

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Fig 15.

AB convergence of CS, RSS, PSO and GA for minimization of (a) F11 and (b) F12.

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Fig 16.

AB convergence of CS, RSS, PSO and GA for minimization of (a) F13 and (b) F14.

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Fig 17.

AB convergence of CS, RSS, PSO and GA for minimization of F15.

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Fig 18.

The variance values during different iterations of CS, RSS, PSO and GA for F15.

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Fig 19.

Configuration of the RSS system.

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Fig 20.

The block diagram of the RSS module.

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Fig 21.

Evaluation function of RSS compared with SA.

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