— Several multi-objective evolutionary algorithms compare the hypervolumes of different sets of points during their operation, usually for selection or archiving purposes. The ba...
— Many scheduling algorithms search the space of possible solutions (schedules), but some instead search the space of permutations of the set of jobs, employing a greedy algorith...
—Nature-inspired routing protocols are becoming an active area of research. Researchers in the community follow a wn engineering philosophy: inspire, abstract, design, develop an...
Saira Zahid, Muhammad Shahzad, Syed Usman Ali, Mud...
Abstract This paper presents a new evolutionary method, namely, a Two Phase evolutionary algorithm for multiple sequence alignments. This method is composed of different types of e...
—Emergent behavior is an essential feature in multi-agent systems and plays a significant role in the applications of agent technology. Because of the huge gap between individual...
— An important goal in multiobjective optimisation is to find a good set of non-dominated solutions that is both well-distributed and well-converged. Most multiobjective optimis...
— We propose an algorithm that is based on the Ant Colony Optimization (ACO) metaheuristic for producing harmonized melodies. The algorithm works in two stages. In the first sta...
— Online service provision is becoming increasingly decentralized as system designers pursue the benefits gained from utilizing nodes at the periphery of the network. However, d...
— This study introduces the multi-criteria approach to the optimization of dynamic molecular alignment by shaped femtosecond laser pulses, which has been considered so far only a...