The “NBI” multi-objective optimisation algorithm
Multi-objective optimisation using the Bees Algorithm
... (PAES) algorithm: (Knowles and Come 2000) introduced PAES consists o f a 1+1 evolution strategy ...this algorithm is in the adaptive grid at the heart o f its diversity and niching ...The objective ...
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A New Multi-objective Evolutionary Optimisation Algorithm: The Two-Archive Algorithm
... 3 Scalable Testing Problems A set of four scalable testing problems [8] are used in this experimental simulation. These problems are designed to achieve many features. They are easy to construct. The number of decision ...
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A Hybrid Multi-objective Extremal Optimisation Approach for Multi-objective Combinatorial Optimisation Problems
... existing multi- objective evolutionary ...the objective of improving the diversity and convergence of the current ...the Multi-objective Flow-shop Scheduling Problem, the ...
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Multi-objective grouping genetic algorithm for product life-cycle optimisation
... a multi- objective optimisation framework for product ...art multi-objective optimisation algorithm has been developed to perform module ...
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An investigation of multi-objective hyper-heuristics for multi-objective optimisation
... ranking scheme that relies on choosing a heuristic with the best SSC value at the right time (decision point) to guide the search to move toward more spaces around the POF. This result is more reliable as shown in Figure ...
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A framework for multi-objective optimisation based on a new self-adaptive particle swarm optimisation algorithm
... This paper develops a particle swarm optimisation (PSO) based framework for multi-objective optimisation (MOO). As a part of development, a new PSO method, named self-adaptive PSO (SAPSO), is ...
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A multi tier adaptive grid algorithm for the evolutionary multi objective optimisation of complex problems
... novel multi-tier adaptive grid selection scheme is developed and combined with the existing CMA-PAES algorithm, in a new augmented algorithm named the Multi-tier Covariance Matrix Adaptation ...
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An FPGA-based approach to multi-objective evolutionary algorithm for multi-disciplinary design optimisation
... of optimisation method that has been well-studied and established for large and complex problems, such as those inherited in MDO, is Multi-Objective Evo- lutionary Algorithms (MOEAs) 2,3,4 ...
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A multi-tier adaptive grid algorithm for the evolutionary multi-objective optimisation of complex problems
... novel multi-tier adaptive grid selection scheme is developed and combined with the existing CMA-PAES algorithm, in a new augmented al- gorithm named the Multi-tier Covariance Matrix Adap- tation ...
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NBI-RPRGM for Multi-objective Optimization Design of Bio-Processes
... consider multi-objective optimization problems arising from the domain of the design of nonlinear ...of multi objective optimization using the recent Normal Boundary Intersection (NBI), ...
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Risk-adjusted portfolio optimisation using a parallel multi-objective evolutionary algorithm
... measures. Multi-objective optimisation algorithms attempt to solve problems that have multiple overlapping or possibly competing objectives ...particular, multi-objective algorithms ...
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The Rolling Tide Evolutionary Algorithm: A Multi-Objective Optimiser for Noisy Optimisation Problems
... novel algorithm for multi- objective optimisation with uncertain objectives, the rolling tide evolutionary algorithm ...noisy optimisation problems in which the noise ...
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Multi-objective optimisation in scientific workflow
... new Optimisation Actor inherits from Nimrod/OK’s existing ...of optimisation algorithm needs to implement the AlgorithmDefinition interface, which defines its name, the number of supported objectives ...
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Multi-objective optimisation of product modularity
... computerised optimisation is that trade-off analysis becomes simple and straightforward and hence speeds up the product architecture decision making ...integrated optimisation framework has been developed ...
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Multi-objective optimisation in the presence of uncertainty
... of objective space, and the true operating points in Figure 5d lie much further away from their corresponding points in Figure 5c than those in Figures 5a and ...
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Multi-objective Optimisation of Marine Propellers
... These objective functions are of- ten in conflict, making them highly challenging in terms of determining optimal solutions and analysing solutions ...work Multi-objective Particle Swarm ...
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Multi-objective optimisation of multi-output neural trees
... new algorithm so-called multi-output neural tree (MONT) that is trained by using non-dominated sorting algorithm frameworks (NSGA) ...two objective tree-size and training ...
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Multi-objective optimisation using sharing in swarm optimisation algorithms
... Swarm Optimisation 48 Srinivasan and Seow (2003) Srinivasan and Seow [111] created a hybrid algorithm combining concepts of PSO and an evolutionary algorithm called ...genetic algorithm and ...
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A Novel Multi-objective Optimisation Algorithm for Routability and Timing Driven Circuit Clustering on FPGAs
... Circuit clustering algorithms fit synthesised circuits into FPGA configurable logic blocks (CLBs) efficiently. This fundamental process in FPGA CAD flow directly impacts both effort required and performance achievable in ...
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Multi-objective optimisation of tool indexing problem: a mathematical model and a modified genetic algorithm
... single-objective optimisation problem by considering minimisation of only the tool-indexing ...the multi-objective optimisation tool- indexing problem (MOOTIP) by identifying changes ...
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