updated plotting org
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@@ -200,7 +200,7 @@ classdef test_miSim < matlab.unittest.TestCase
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end
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% Initialize the simulation
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[tc.testClass, f] = tc.testClass.initialize(tc.domain, tc.domain.objective, tc.agents, tc.timestep, tc.partitoningFreq, tc.maxIter, tc.obstacles);
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tc.testClass = tc.testClass.initialize(tc.domain, tc.domain.objective, tc.agents, tc.timestep, tc.partitoningFreq, tc.maxIter, tc.obstacles);
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end
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function misim_run(tc)
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% randomly create obstacles
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@@ -330,10 +330,10 @@ classdef test_miSim < matlab.unittest.TestCase
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end
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% Initialize the simulation
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[tc.testClass, f] = tc.testClass.initialize(tc.domain, tc.domain.objective, tc.agents, tc.timestep, tc.partitoningFreq, tc.maxIter, tc.obstacles);
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tc.testClass = tc.testClass.initialize(tc.domain, tc.domain.objective, tc.agents, tc.timestep, tc.partitoningFreq, tc.maxIter, tc.obstacles);
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% Run simulation loop
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[tc.testClass, f] = tc.testClass.run(f);
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tc.testClass = tc.testClass.run(f);
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end
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function test_basic_partitioning(tc)
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% place agents a fixed distance +/- X from the domain's center
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@@ -370,7 +370,7 @@ classdef test_miSim < matlab.unittest.TestCase
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% tc.agents{3} = tc.agents{3}.initialize(tc.domain.center - [0, d, 0], zeros(1, 3), 0, 0, geometry3, sensor, @gradientAscent, 3*d, 3, sprintf("Agent %d", 3));
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% Initialize the simulation
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[tc.testClass, f] = tc.testClass.initialize(tc.domain, tc.domain.objective, tc.agents, tc.timestep, tc.partitoningFreq, tc.maxIter);
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tc.testClass = tc.testClass.initialize(tc.domain, tc.domain.objective, tc.agents, tc.timestep, tc.partitoningFreq, tc.maxIter);
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end
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end
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