Algorithms are powerful tools for solving complex problems, but they often rely on assumptions and parameters that may not hold in dynamic environments. Dynamic environments are those where the ...

Learn how dynamic programming works, when to use it, and some examples of dynamic programming algorithms for software engineering challenges.

Moreover, an adaptive coverage strategy with dynamic energy decay based on the multiobjective dingo optimization algorithm (MODOA) is proposed. And the Pareto multiobjective strategy is integrated to ...

Dynamic phasor measurement algorithm based on high-precision time synchronization Jie Zhang 1,2 Fuxin Li 3 Zhengwei Chang 1 Chunhua Hu 4 Chun Liu 5 Sihao Tang 6* ...

This paper proposes an efficient parallel algorithm for an important class of dynamic programming problems that includes Viterbi, Needleman–Wunsch, Smith–Waterman, and Longest Common Subsequence. In ...

While passengers may be less than thrilled about algorithm-driven airline fees, for the industry the promise of extending dynamic pricing beyond base fares is enticing.

In this paper, a new improved dynamic algorithm is proposed to find the optimal path in transit network, which uses the shortest travel time as primary object and least transfer times as second object ...

Dynamic Programming is a paradigm of algorithm design in which an optimization problem is solved by a combination of achieving sub-problem solutions and appearing to the "principle of optimality ...