
Let
We present necessary and sufficient conditions for the decomposition of
In this paper, a genetic algorithm and a tabu search are investigated for the maximum satisfiability problem. When the evolutionary algorithm is hybridized with the randomized procedure G-bit [14], better performance is achieved and it even outperforms the well-known probabilistic procedure GSAT [25]. On the other hand, when the random noise strategy is introduced in the tabu search, the latter competes with GSAT with walk [27] independently of the length of the tabu list. The basic result we can argue from this study is that the robustness of a method seems to be bound to the degree of `randomness’ involved in it, but at the expense of the running time. According to the experiments, GSAT and the genetic algorithm are more powerful than tabu search in its simplest form because they incorporate more `randomness’. GSAT with random walk is even more interesting than simple GSAT for the same reason. Also, heuristic methods and local search become more efficient when a random strategy such as a noise is introduced to deviate the search from its usual rules.
A vertex
A snake in a graph is a simple cycle without chords. A snake-in-the-box is a snake in the
In a graph, a set
Inclusive connectivity parameters for a given vertex in a graph
In this paper, the maximum graphical structure is obtained when the number of vertices p of a connected graph G and tenacity
Let
In this note, we present necessary conditions for decomposing
We obtain
In overloaded task systems, it is by definition not possible to complete all tasks by their deadlines. However, it may still be desirable to maximize the number of in-time task completions. The performance of on-line schedulers with respect to this metric is investigated here. It is shown that in general, an on-line algorithm may perform arbitrarily poorly as compared to clairvoyant (off-line) schedulers. This result holds for general task workloads where there are no constraints on task characteristics. For a variety of constrained workloads that are representative of many practical applications, however, on-line schedulers that do provide a guaranteed level of performance are presented.
We present a new algorithm for computer searches for orthogonal designs. Then we use this algorithm to find new sets of sequences with entries from
Consider the hit polynomial of the path
In a packer-spoiler game on a graph, two players jointly construct a maximal partial
Let G be a
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