Abstract Search Test Algorithm
The Abstract Search Test Algorithm is a powerful and versatile framework designed for solving complex search and optimization problems in various domains. This algorithm encompasses a wide range of techniques, including genetic algorithms, simulated annealing, and swarm intelligence, among others. By employing heuristics, metaheuristics, and learning strategies, this algorithm navigates through a large search space efficiently to identify optimum or near-optimum solutions. It is particularly useful in addressing problems that are difficult to solve using traditional optimization methods due to their computational complexity, non-linearity, or the presence of multiple conflicting objectives.
The key principle behind the Abstract Search Test Algorithm is its ability to explore and exploit the search space effectively. The algorithm maintains a diverse set of candidate solutions, which are iteratively evaluated and improved based on their objective function values. During the search process, the algorithm incorporates mechanisms to balance exploration, i.e., discovering new regions of the search space, and exploitation, i.e., refining solutions in promising regions. This balance is crucial to avoid getting trapped in local optima and converging prematurely. Furthermore, the algorithm can be adapted and fine-tuned to the specific characteristics of a problem, making it highly customizable and widely applicable across various fields, such as operations research, machine learning, and engineering design.
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package com.algorithmexamples.search
import org.junit.Assert
import org.junit.Test
abstract class AbstractSearchTest<out T: AbstractSearchStrategy<Int>>(val strategy: T) {
@Test
fun emptyTest() {
Assert.assertEquals(-1, strategy.perform(emptyArray(), 1))
}
@Test
fun singletonTest() {
Assert.assertEquals(0, strategy.perform(arrayOf(1), 1))
Assert.assertEquals(-1, strategy.perform(arrayOf(1), 2))
}
@Test
fun twoElementsTest() {
Assert.assertEquals(0, strategy.perform(arrayOf(1, 2), 1))
Assert.assertEquals(1, strategy.perform(arrayOf(1, 2), 2))
Assert.assertEquals(-1, strategy.perform(arrayOf(1, 2), 3))
}
@Test
fun tenElementsTest() {
Assert.assertEquals(0, strategy.perform(arrayOf(1, 2, 3, 4, 5, 6, 7, 8, 9, 10), 1))
Assert.assertEquals(1, strategy.perform(arrayOf(1, 2, 3, 4, 5, 6, 7, 8, 9, 10), 2))
Assert.assertEquals(2, strategy.perform(arrayOf(1, 2, 3, 4, 5, 6, 7, 8, 9, 10), 3))
Assert.assertEquals(3, strategy.perform(arrayOf(1, 2, 3, 4, 5, 6, 7, 8, 9, 10), 4))
Assert.assertEquals(4, strategy.perform(arrayOf(1, 2, 3, 4, 5, 6, 7, 8, 9, 10), 5))
Assert.assertEquals(5, strategy.perform(arrayOf(1, 2, 3, 4, 5, 6, 7, 8, 9, 10), 6))
Assert.assertEquals(6, strategy.perform(arrayOf(1, 2, 3, 4, 5, 6, 7, 8, 9, 10), 7))
Assert.assertEquals(7, strategy.perform(arrayOf(1, 2, 3, 4, 5, 6, 7, 8, 9, 10), 8))
Assert.assertEquals(8, strategy.perform(arrayOf(1, 2, 3, 4, 5, 6, 7, 8, 9, 10), 9))
Assert.assertEquals(9, strategy.perform(arrayOf(1, 2, 3, 4, 5, 6, 7, 8, 9, 10), 10))
Assert.assertEquals(-1, strategy.perform(arrayOf(1, 2, 3, 4, 5, 6, 7, 8, 9, 10), 0))
Assert.assertEquals(-1, strategy.perform(arrayOf(1, 2, 3, 4, 5, 6, 7, 8, 9, 10), 11))
}
}
