Evolutionary algorithms for state justification in sequential automatic test pattern generation حسب El-Maleh, Aiman H.

"…Evolutionary algorithms have been effective in solving many search and optimization problems. …"
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A modified ant colony algorithm for evolutionary design of digital circuits حسب Sait, Sadiq M.

"…Evolutionary computation presents a new paradigm shift in hardware design and synthesis. …"
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A Review for the Genetic Algorithm and the Red Deer Algorithm Applications حسب Abu Zitar, Raed

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A Multiswarm Intelligence Algorithm for Expensive Bound Constrained Optimization Problems حسب Wali Khan Mashwani (14590504)

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A novel multiobjective evolutionary algorithm for optimal reactive power dispatch problem حسب Abido, M.A.

"…In this paper, a novel multiobjective evolutionary algorithm for optimal reactive power (VAR) dispatch problem is presented. …"
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The Hybrid Framework for Multi-objective Evolutionary Optimization Based On Harmony Search Algorithm حسب Abu Doush, Iyad

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The Hybrid Framework for Multi-objective Evolutionary Optimization Based On Harmony Search Algorithm حسب Abou Doush, Iyad

"…In evolutionary multi-objective optimization, an evolutionary algorithm is invoked to solve an optimization problem involving concurrent optimization of multiple objective functions. …"
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A Cooperative Co-evolutionary LSHADE Algorithm for Large-Scale Global Optimization حسب El-Abd, Mohammed

"…In this paper, we propose the application of a Cooperative Co-evolutionary LSHADE (CCLSHADE) algorithm for Large-Scale Global Optimization (LSGO). …"
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A Review on Swarm Intelligence and Evolutionary Algorithms for Solving the Traffic Signal Control Problem حسب Shaikh, Palwasha

"…Searching for a suitable or an optimal schedule for the prior via brute force to ease traffic congestion might not be the most elegant or feasible solution. Nature-inspired algorithms including evolutionary and swarm intelligence algorithms are gaining a lot of momentum. …"
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Environmental/economic power dispatch using multiobjective evolutionary algorithms: a comparative study حسب Abido, M.A.

"…A comparative study of newly developed Pareto-based multiobjective evolutionary algorithms (MOEA) applied to a nonlinear power system multiobjective optimization problem is presented in this paper. …"
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UniBFS: A novel uniform-solution-driven binary feature selection algorithm for high-dimensional data حسب Behrouz Ahadzadeh (19757022)

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A Scatter search algorithm for exam scheduling. (c2006) حسب Isahakian, Vatche Raffi

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Swarm and Evolutionary Computation حسب El-Abd, Mohammed

"…Then the harmony search algorithm iterates to look for and to develop a new solution enhanced by using neighboring heuristics. …"
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Electrical efficiency of the photovoltaic/thermal collectors cooled by nanofluids: Machine learning simulation and optimization by evolutionary algorithm حسب Yan Cao (482880)

Application of Red Deer Algorithm in Optimizing Complex functions حسب Zitar, Raed

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Stochastic evolution algorithm for technology mapping حسب Al-Mulhem, A.S.

"…SELF-Map is based on the Stochastic Evolution (SE) algorithm. The state space model of the problem is defined and suitable cost function which allows optimization for area, delay, or area-delay combinations is proposed. …"
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Optimization of Piezoelectric Sensor-Actuator for Plate Vibration Control Using Evolutionary Computation: Modeling, Simulation and Experimentation حسب Asan G. A. Muthalif (16888818)

Adaptive bias simulated evolution algorithm for placement حسب Youssef, H.

"…This parameter has major impact on the algorithm run-time and the quality of the solution subspace searched. …"
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A multiobjective optimization method for the SOC Test Time, TAM, and power optimization using a strength pareto evolutionary algorithm حسب Harmanani, Haidar M.

"…The method uses a Strength Pareto Evolutionary Algorithm that minimizes the overall test application time in addition to power, wrapper design and TAM assignment. …"
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Fuzzy simulated evolution algorithm for topology design of campusnetworks حسب Youssef, H.

"…Results show that on all test cases the simulated evolution algorithm exhibits more intelligent search of the solution subspace and was able to find better solutions than simulated annealing…"
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