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EMOCEP 2019 : Special Collection on Evolutionary Multi-objective Optimization for Solving Complex Engineering Problems


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Submission Deadline Dec 31, 2018
Notification Due Dec 31, 2018
Final Version Due Dec 31, 2018

Call For Papers

Mechanical Engineering Call for Papers:
Special Collection on Evolutionary Multi-objective Optimization for Solving Complex Engineering Problems
To have your paper included, submit by December 31, 2018

Submit your paper.

Evolutionary multi-objective optimization (EMO) has rapidly grown as a popular and useful field of computational intelligence research.

Evolutionary optimization algorithms use a population-based approach in which more than one solution participates in an iteration and evolves a new population of solutions in each iteration. During the last ten years, evolutionary multi-objective optimization algorithms such as Non-dominated Sorting Genetic Algorithm II (NSGAII), Grid-Based Evolutionary Algorithm (GrEA), Hypervolume Estimation Algorithm for multi-objective optimization (HyEA), Strength Pareto Evolutionary Algorithm 2 (SPEA2) and multi-objective particle swarm optimization (MOPSO), have been used successfully to solve various well-known academic and real-world engineering problems in several application domains. Examples include manufacturing processes, space planning, scheduling, assembly line balancing and transmission.

This Special Collection aims to group cutting-edge research in all aspects of evolutionary multi-objective optimization and complex engineering problems, including experimental and theoretical research and real-world applications.

Potential topics for submissions to this Special Collection include, but are not limited to:

Evolutionary multi-objective optimization for scheduling

Evolutionary multi-objective optimization for manufacturing optimization

Evolutionary multi-objective optimization in bioengineering

Hybrid evolutionary multi-objective optimization for engineering problems

Parallel evolutionary multi-objective optimization

Evolutionary multi-objective optimization using high performance computing

Evolutionary multi-objective optimization frameworks for optimization

Application of surrogate-based evolutionary multi-objective optimization

Large-scale engineering optimization

Many-objective engineering optimization


Evolutionary multi-objective optimization, many-objective engineering optimization, evolutionary algorithm, engineering optimization, parallel algorithm

The submitted manuscripts for this Special Collection will be peer-reviewed before publication.

Submit your paper.

Deadline for submissions:

December 31, 2018

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