Beispiel #1
0
        public void TestOptimizeCorrectOptimalValueReached()
        {
            TestIntegerEvaluableState initialState = new TestIntegerEvaluableState(2);
            TestIntegerEvaluableState result       = algorithm.Optimize(initialState);

            Assert.AreEqual(100, result.Value);
        }
Beispiel #2
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        public void TestOptimizeEmitsEventsInOrder()
        {
            IComparer <TestIntegerEvaluableState> comparer = new MaximizingComparer <TestIntegerEvaluableState>();

            generator = new TestIntegerLocalMaximaSuccessorGenerator();
            picker    = new ClimberSuccessorSelector <TestIntegerEvaluableState, int>(generator, comparer);
            algorithm = new LocalClimberAlgorithm <TestIntegerEvaluableState, int>(picker);

            List <int> encounteredStates = new List <int>();
            List <int> expectedStates    = new List <int>();

            for (int i = 3; i <= 50; i++)
            {
                expectedStates.Add(i);
            }

            void OnEvent(object source, ClimberStepEvent <TestIntegerEvaluableState, int> e)
            {
                encounteredStates.Add(e.CurrentState.Value);
            }

            algorithm.ClimbStepPerformedEvent += OnEvent;

            TestIntegerEvaluableState initialState = new TestIntegerEvaluableState(2);
            TestIntegerEvaluableState result       = algorithm.Optimize(initialState);

            Assert.AreEqual(expectedStates.Count, encounteredStates.Count);
            for (int i = 0; i < expectedStates.Count; i++)
            {
                Assert.AreEqual(encounteredStates[i], expectedStates[i], "Encountered states do not match");
            }
        }
        public void TestOptimizeStopsAtLocalExtrema()
        {
            IComparer <int> comparer = new MaximizingComparer <int>();

            generator = new TestIntegerLocalMaximaSuccessorGenerator();
            picker    = new ClimberSuccessorPicker <TestIntegerEvaluableState, int>(generator, comparer);
            algorithm = new LocalClimberAlgorithm <TestIntegerEvaluableState, int>(comparer, picker);

            TestIntegerEvaluableState        initialState = new TestIntegerEvaluableState(2);
            Task <TestIntegerEvaluableState> optimizeTask = Task.Run(() => algorithm.Optimize(initialState));

            Stopwatch timer = new Stopwatch();

            timer.Start();
            while (!optimizeTask.IsCompleted && timer.ElapsedMilliseconds < 10000)
            {
            }

            timer.Stop();

            Assert.IsTrue(optimizeTask.IsCompleted, "Optimization did not stop at local maxima");
            Assert.IsTrue(optimizeTask.IsCompletedSuccessfully, "FAILED");

            TestIntegerEvaluableState result = optimizeTask.Result;

            Assert.AreEqual(50, result.Value, "Encountered states do not match");
        }
Beispiel #4
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        public void TestOptimizeStopsAtLocalExtrema()
        {
            IComparer <TestIntegerEvaluableState> comparer = new MaximizingComparer <TestIntegerEvaluableState>();

            generator = new TestIntegerLocalMaximaSuccessorGenerator();
            picker    = new ClimberSuccessorSelector <TestIntegerEvaluableState, int>(generator, comparer);
            algorithm = new LocalClimberAlgorithm <TestIntegerEvaluableState, int>(picker);

            TestIntegerEvaluableState initialState = new TestIntegerEvaluableState(2);

            TestIntegerEvaluableState result = algorithm.Optimize(initialState);

            Assert.AreEqual(50, result.Value, "Optimized state is incorrect");
        }
        public void TestOptimizeEmitsEventsInOrder()
        {
            IComparer <int> comparer = new MaximizingComparer <int>();

            generator = new TestIntegerLocalMaximaSuccessorGenerator();
            picker    = new ClimberSuccessorPicker <TestIntegerEvaluableState, int>(generator, comparer);
            algorithm = new LocalClimberAlgorithm <TestIntegerEvaluableState, int>(comparer, picker);

            List <int> encounteredStates = new List <int>();
            List <int> expectedStates    = new List <int>();

            for (int i = 3; i <= 50; i++)
            {
                expectedStates.Add(i);
            }

            void OnEvent(object source, ClimberStepEvent <TestIntegerEvaluableState, int> e)
            {
                encounteredStates.Add(e.StepState.Value);
            }

            algorithm.ClimbStepPerformed += OnEvent;

            TestIntegerEvaluableState        initialState = new TestIntegerEvaluableState(2);
            Task <TestIntegerEvaluableState> optimizeTask = Task.Run(() => algorithm.Optimize(initialState));

            Stopwatch timer = new Stopwatch();

            timer.Start();
            while (!optimizeTask.IsCompleted && timer.ElapsedMilliseconds < 10000)
            {
            }

            timer.Stop();

            Assert.IsTrue(optimizeTask.IsCompletedSuccessfully, "FAILED");

            TestIntegerEvaluableState result = optimizeTask.Result;

            Assert.AreEqual(expectedStates.Count, encounteredStates.Count);
            for (int i = 0; i < expectedStates.Count; i++)
            {
                Assert.AreEqual(encounteredStates[i], expectedStates[i], "Encountered states do not match");
            }
        }
        public void TestOptimizeCorrectOptimalValueReached()
        {
            TestIntegerEvaluableState        initialState = new TestIntegerEvaluableState(2);
            Task <TestIntegerEvaluableState> task         = Task.Run(() => algorithm.Optimize(initialState));

            Stopwatch timer = new Stopwatch();

            timer.Start();
            while (!task.IsCompleted && timer.ElapsedMilliseconds < 5000)
            {
            }
            timer.Stop();

            Assert.IsTrue(task.IsCompleted, "Optimization took too long to complete");
            TestIntegerEvaluableState result = task.Result;

            Assert.AreEqual(100, result.Value);
        }
Beispiel #7
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 /// <summary>
 /// Performs the climber optimization from a given initialState
 /// </summary>
 /// <param name="initialState">The initial state for which to optimize</param>
 /// <returns>The most optimal state encountered by the climber. This may not be the best possible state</returns>
 public override TState PerformOptimization(TState initialState)
 {
     return(algorithm.Optimize(initialState));
 }