A Hybrid Cooperative Search Algorithm for Constrained Optimisation
A Hybrid Harmony Search Algorithm for Solving Dynamic Optimisation Problems
... Many optimisation problems are dynamic in the sense that changes occur during the optimisation process, and therefore are more challenging than the stationary ...dynamic optimisation problems, the ...
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Hybrid evolutionary techniques for constrained optimisation design
... these hybrid methods, local search strategies are inlaid inside the evolutionary approaches in order to guide them especially in the vicinity of local minima, and overcome their slow convergence especially ...
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A plant propagation algorithm for constrained engineering optimisation problems
... Figure 2: Exploitation characteristic of PPA using rules 2-3. get shorter and shorter as the search progresses. Figure 4 is a representation of the convergence of the objective values of the problems described in ...
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Optimisation of Biochemical Systems Production using Hybrid of Newton method, Differential Evolution Algorithm and Cooperative Coevolution
... a hybrid method of Newton method, Differential Evolution Algorithm (DE) and Cooperative Coevolution Algorithm ...the optimisation problem in optimise the production of biochemical ...
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Application of the Bees Algorithm for Constrained Mechanical Design Optimisation Problem
... Bees Algorithm corresponding to the best fitness value over 100 ...Bees Algorithm, but the Bees Algorithm showed less variability of the result with standard deviation only ...Bees Algorithm ...
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Stochastic Local Search Methods for Highly Constrained Combinatorial Optimisation Problems
... an algorithm are ...tabu search, it is very likely that the first algorithm due to its cooling scheduling has a curve which descends slowly at the begin- ning and faster after a certain time while ...
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Free Search and Particle Swarm Optimisation applied to Non-constrained Test
... various optimisation and search methods attracts research efforts ...an algorithm can adapt to various task without changes of its search parameters is could be determined as adaptive ...
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A modified bats echolocation-based algorithm for solving constrained optimisation problems
... simultaneously. The only constant in this equation is beam-tuning constant (ω) which is equal to 2. This constant can also be considered as acceleration constant. The function of this constant is to strengthen β so that ...
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Penguins Search Optimisation Algorithm for Association Rules Mining
... genetic algorithm for association rule mining have been proposed to ameliorate genetic operators and the representation of solu- tions, such as ARMGA ...a hybrid method is used to reduce the cost, as well ...
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Cooperative coevolutionary differential evolution with improved augmented Lagrangian to solve constrained optimisation problems
... CCiALF algorithm has been proposed to solve constrained optimisation ...proposed algorithm employs the cooperative co- evolutionary framework that coevolves two populations, one for the ...
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A Hybrid Scatter Search for the Resource-Constrained Project Scheduling Problem
... A Hybrid Scatter Search for the RCPSP ...new hybrid metaheuristic algorithm based on the scatter search approach is developed to solve the well-known resource-constrained project ...
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An improved evolutionary approach-based hybrid algorithm for Bayesian network structure learning in dynamic constrained search space
... a hybrid algorithm based on an im- proved evolutionary approach is proposed for the task of BN structure estimation in dynamic constrained search ...the hybrid approach, to restrict the ...
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An evolutionary algorithm based pattern search approach for constrained optimization
... A hybrid evolutionary approach coupled with a pattern search method for global nonlinear constrained optimization is ...local search does not need any gradient information, which may not be ...
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Automatic streamlining for constrained optimisation
... newly constrained bound at the top of the search tree which allows it to make more informed decisions higher up without descending into unsatisfactory ...level. Algorithm 2 shows the UCBSelection ...
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An efficient hybrid differential evolutionary algorithm for zbilevel optimisation problems
... 4. Algorithm description In this study, the u-mapping is chosen to solve the BLOP for its higher computa- tional ...local search is used to provide the upper level candidate with higher quality, which ...
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A Cuckoo search algorithm (CSA) for Precedence Constrained Sequencing Problem (PCSP)
... heuristic algorithm to solve the scheduling model of a single machine with precedence constraint and sequence dependent changeover cost (He and Kusiak ...heuristic algorithm to solve the Dial-A-Ride problem ...
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A hybrid particle swarm evolutionary algorithm for constrained multi-objective optimization
... re- search community [16–19]. While PSO is rarely considered in constrained MOPs ...a hybrid particle swam evolutionary algorithm to solve constrained ...proposed algorithm is ...
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Null Steering Beamformer Using Hybrid Algorithm Based on Honey Bees Mating Optimisation and Tabu Search in Adaptive Antenna Array
... HBMO algorithm to adapt the antenna array is to set the magnitude of the phase that minimizes the maximum radiation levels in the directions of ...HBMO algorithm and the problem of adapting antenna array is ...
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A search algorithm for global optimisation
... global search optimisation ...global optimisation algo- rithms are the genetic algorithm (GA) [1]-[3] and adaptive simulated annealing (ASA) ...random search methods. The un- derlying ...
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Constrained Optimisation
... Constrained Optimisation Rational economic agents are assumed to make choices that maximise their utility or ...usually constrained – for example the consumer’s choice of consumption bundle is ...
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