To solve multi-objective hybrid flow-shop scheduling problems,a new evolutionary algorithm was presented which could dynamically adjust the fitness assignment in optimizing scheduling process.

The fitness assignment based on the double rank of the individual and its density value was employed to preserve diversity of the solutions,and the elitist strategy was adopted to ensure the convergence of the solutions.

(3)In this paper, two IGA application models were established, one based onHybrid Fitness Assignment Strategy (HFAS) and the other one based on customermark.

Therefore adaptive allocation algorithms have been widespread concerned and become one of the focuses in multi-carrier system re.

Focusing on the problem that traditional resource allocation algorithms result in low spectrum efficiency,an adaptive sub-carrier allocation algorithm was proposed for orthogonal frequency division multiple access systems with minimum transmission rate request.

Adaptive Resource Allocation for Multi-Carrier Systems

In this paper,we propose an adaptive resource allocation scheme for spatial multiplexing based multi-user MIMO/OFDM downlink system under imperfect channel information to maximize the system sum-rate and satisfy user s QoS parameters.

This paper has investigated adaptive resource allocation strategy for multiple-input-multiple-output(MIMO)orthogonal frequency division multiplexing access(OFDMA)systems,and proposed a beamforming-based transmit scheme as a concatenation of dynamic subcarriers,adaptive modulation and adaptive bit loading.