Journal of Global Optimization
A novel hybrid immune algorithm for global optimization in design and manufacturing
Robotics and Computer-Integrated Manufacturing
A new design optimization framework based on immune algorithm and Taguchi's method
Computers in Industry
Expert Systems with Applications: An International Journal
Support vector machine approach for longitudinal dispersion coefficients in natural streams
Applied Soft Computing
Learning and optimization using the clonal selection principle
IEEE Transactions on Evolutionary Computation
Minimal representation multisensor fusion using differential evolution
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Optimization of cutting parameters in multi-pass turning using artificial bee colony-based approach
Information Sciences: an International Journal
Information Sciences: an International Journal
Estimation of distribution algorithm for a class of nonlinear bilevel programming problems
Information Sciences: an International Journal
Hybrid email spam detection model with negative selection algorithm and differential evolution
Engineering Applications of Artificial Intelligence
International Journal of Swarm Intelligence Research
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This paper presents a novel hybrid optimization approach based on differential evolution algorithm and receptor editing property of immune system. The purpose of the present research is to develop a new optimization approach to solve optimization problems in the manufacturing industry. The proposed hybrid approach is applied to a case study for milling operations to show its effectiveness in machining operations. The results of the hybrid approach for the case study are compared with those of hybrid particle swarm algorithm, ant colony algorithm, immune algorithm, hybrid immune algorithm, genetic algorithm, feasible direction method and handbook recommendation.