Searching Algorithms for Problem Solving in AIThere are many search algorithms which are followed by an agent for solving the problems by searching. Some of them are:1. Random SearchIn this search technique, an
A constraint-based approach to problem solving has been looked at in artificial intelligence (AI) and other areas of computer science. A variety of methods are subsumed in a technique called constraint satisfaction or reasoning based on relations. Backtracking is a common approach in most of the ...
As an integral part of classical AI planning methods, search techniques are widely used in solving constraint satisfaction and optimization problems, where all possible solutions to a problem can be represented in the form of a graph G=(V,E) called Search Space in which each node v∈V represe...
An important matrix searching technique for solving geometric problems was introduced by Aggarwal et al. in [6], where a linear time sequential solution was also given. The technique has myriads of applications to geometric and combinatorial problems [8,6]. Suppose we have an m × n matrix A...
A novel technique was devised to formulate the challenge of optimal subset selection from a repository of pre-existing optimal mining trajectories as an integer linear programming problem. Finally, the fundamental problem of searching for single optimal mining trajectories (mining and collecting all ...
How AI Developers are Solving the Small Input Size Problem of LLMs and the Risks Involved Ironically, LARGE Language Models (LLMs), so far at least, have only SMALL language memories and input size, way too little for case analysis and other legal applic
Although the application of DP in SRSP is not as much as that in earth observation satellite scheduling problem [118–121], the division concept of DP still provides idea for problem solving [122]. Deterministic algorithm guarantees the optimal solution by searching the solution space completely,...
programming models are used to represent both scheduling and allocation problems. A novel inspired PSO heuristic algorithm was proposed and experimented on randomly generated data sets to validate the efficiency of the algorithm. The algorithm is capable of solving large scale problems in the railway ...
A Knapsack Problem is defined as:Given a set of items, each with a weight and a value, determine which items to include in the collection so that the total...
Chapters and Articles You might find these chapters and articles relevant to this topic. Chapter Swarm Problem-Solving 5.4.2 The traveling salesman and Ant System The traveling salesman problem is what is known as a “toy problem”, in the sense that it is not necessarily interesting in and ...